senior data architect

Work From Home

<p></p><div><h5 class="jobSectionHeader"><b>This is OUR story... and YOUR next chapter</b></h5>
At HCA Healthcare, our Digital Transformation and Innovation (DT&amp;I) team is redefining what&rsquo;s possible inpatient care. Byleveragingthe power of artificial intelligence, automation, and digital technologies, DT&amp;I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. Ifyou'repassionate about using technology to improve human life, this is where your work truly matters<h5 class="jobSectionHeader"><b>
What you will accomplish in this role</b></h5><p></p><p><br>
What you will do:</p><p>
Core Competencies</p><p>
The following are highlighted entrepreneurial competencies and core expectations for the job/role:</p><p></p><ul><li>
Strategic thinking and architectural leadership</li><li>
Deep technical expertise in cloud data platforms</li><li>
Strong problem-solving and systems design skills</li><li>
Ability to bridge business, clinical, and technical domains</li><li>
Clear written and verbal communication</li></ul><p></p><p>
This role will focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for the implementation of technically robust solutions encompassing all business, architecture, and technology constraints.</p><p></p><p>
Technical Leadership &amp; Architecture</p><p></p><ul><li>
Define and own enterprise-scale data architecture patterns for multi-modal ingestion and Lakehouse platforms on Google Cloud Platform.</li><li>
Architect and evolve document-centric and unstructured data pipelines that support ingestion, enrichment, embedding, indexing, storage, and retrieval at scale.</li><li>
Lead the design of intelligent ingestion frameworks leveraging LLMs and advanced techniques (e.g., semantic chunking, embeddings, metadata extraction, classification, and enrichment).</li><li>
Establish architectural standards for cost-optimized, high-throughput ingestion across batch, streaming, and event-driven workloads.</li><li>
Drive platform designs that support search, analytics, and downstream AI/ML use cases in partnership with the AI/ML organization.</li></ul><p></p><p>
Lakehouse &amp; Data Platform Design</p><p></p><ul><li>
Architect and manage enterprise Lakehouse environments using technologies such as BigQuery, Apache Iceberg, Delta Lake, and GCS.</li><li>
Ensure strong design around schema evolution, ACID compliance, partitioning strategies, metadata management, and lifecycle policies.</li><li>
Optimize storage and compute usage to balance performance and cost across large-scale document and data repositories.</li><li>
Design data models and access patterns that support both analytical and AI-driven workloads.</li></ul><p></p><p>
Ingestion, Processing &amp; AI Enablement</p><p></p><ul><li>
Design and oversee ETL/ELT and ingestion pipelines using Dataflow, Dataproc, Pub/Sub, Cloud Run, GKE, and related services.</li><li>
Integrate AI/ML services into ingestion and processing pipelines for document understanding and content intelligence in partnership with that practice area.</li><li>
Partner with AI/ML teams to enable embedding generation, vector storage, and retrieval patterns aligned with enterprise governance standards.</li><li>
Ensure ingestion frameworks are resilient, observable, and designed for continuous evolution.</li></ul><p></p><p>
API Architecture &amp; Governance</p><br>
<p></p><ul><li>
Design and implement enterprise-grade REST and event-driven APIs aligned with OpenAPI specifications, versioning standards, and backward compatibility principles.</li><li>
Define and enforce API governance frameworks including naming conventions, authentication patterns, rate limiting, pagination strategies, and error handling standards.</li><li>
Architect API layers that serve both human-facing applications and AI agent consumers, ensuring consistent contract design across all downstream integrations.</li><li>
Collaborate with platform and engineering teams to establish API lifecycle management practices including deprecation policies, schema validation, and automated compliance checks.</li><li>
Design secure API access patterns for PHI-sensitive and regulated data, incorporating encryption, scoping, and audit logging requirements.</li><li>
Partner with vendor and internal delivery teams to review, validate, and approve API designs prior to implementation, ensuring alignment with enterprise architecture standards.</li></ul><p></p><p>
Governance, Security &amp; Compliance</p><p></p><ul><li>
Define and enforce best practices for data governance, security, privacy, and compliance (HIPAA, GDPR) across structured and unstructured data.</li><li>
Ensure architectural alignment with enterprise policies for data retention, lineage, access control, and auditability.</li><li>
Participate in and lead architectural design reviews to ensure adherence to standards and patterns.</li></ul><p></p><p>
Collaboration &amp; Influence</p><p></p><ul><li>
Collaborate with business, clinical, analytics, and engineering stakeholders to translate requirements into scalable architectural solutions.</li><li>
Provide architectural guidance for cloud migrations and modernization initiatives involving document and data platforms.</li><li>
Maintain a holistic view of enterprise information assets through diagrams, reference architectures, and technical roadmaps.</li><li>
Act as a technical mentor and advisor to senior engineers and architects.</li></ul><p></p><h6 class="jobSectionHeader"><b>
What qualifications you will need:</b></h6><p></p><ul><li>
Bachelor's degree in computer science, related technical field, or equivalent experience required</li><li>
Master's degree in computer science or related field preferred</li><li>
3+ years of experience in Cloud Data or Information Architect required</li><li>
5+ years of experience in Healthcare preferred</li><li>
10+ years of experience in Information Technology required</li></ul><p></p><p>
A successful candidate will demonstrate:</p><p></p><ul><li>
Deep experience designing enterprise data architectures on Google Cloud Platform or other Cloud Service Providers.</li><li>
Hands-on expertise with GCP services, including:</li><li>
BigQuery, Cloud Storage, Dataflow, Dataproc</li><li>
Pub/Sub, Cloud Run, GKE, Cloud Functions</li><li>
Bigtable, Cloud SQL, Cloud Spanner</li><li>
Strong knowledge of Lakehouse technologies and formats: Iceberg, Delta Lake, Parquet, Avro, JSON.</li><li>
Experience with document and unstructured data processing, including ingestion, enrichment, and indexing.</li><li>
Practical experience integrating LLMs and AI frameworks (e.g., Vertex AI, LangChain, embeddings, RAG patterns) into data pipelines.</li><li>
Proficiency in Python, SQL, and JVM-based languages (Java/Scala).</li><li>
Experience with CI/CD, DevOps, and infrastructure-as-code for data platforms.</li><li>
Strong understanding of data security, privacy, and regulatory requirements in cloud environments.</li><li>
Ability to analyze complex problems, modernize legacy pipelines, and design scalable solutions.</li><li>
Ability to communicate complex architectures clearly to both technical and non-technical audiences.</li></ul><p></p><p>
Certifications (a plus, but not required):</p><p></p><ul><li>
GCP Professional Data Engineer</li><li>
GCP Professional Cloud Architect</li></ul><p></p><p>
PHYSICAL DEMANDS/WORKING CONDITIONS (Specific statements of physical effort required and description of work environment; e.g., prolonged sitting at CRT. required travel %)</p><p>
Prolonged sitting or standing at computer workstation including use of mouse, keyboard, and monitor.</p><p></p><p>
Requires ability to provide after-hours support.</p><p></p><p>
At HCA Healthcare, we are committed to fostering a culture of growth that allows you to build the career of a lifetime. We encourage you to apply for our Principal Data Architect today. We review all applications promptly, and qualified candidates will be contacted to continue the process. Join us!</p><p><i>
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</i></p></div>

Principal Data Architect

University of California - San Francisco

<div><p>The EIA Health Finance team is seeking a highly experienced <b>Senior Data Engineer / Data Platform Architect </b>to support, enhance, and evolve <b>OmniView </b>, UCSF Health&rsquo;s enterprise data warehouse for financial analytics.
</p><p>OmniView is a mission-critical platform supporting <b>budgeting, cost accounting, labor productivity, and service line analytics </b>. This role combines <b>hands-on engineering, production support, and solution architecture </b>, with a strong emphasis on building <b>scalable, sustainable, and agile data and reporting platforms </b>.
</p><p>The ideal candidate is equally comfortable <b>managing production systems, architecting enterprise solutions, and collaborating with business and technical stakeholders </b>to deliver high-impact analytics.
</p><p><b>Healthcare Domain Expertise (Required)
</b></p><p>Experience with <b>healthcare data </b>, specifically:
</p><ul><li>Budgeting and financial planning
</li><li>Cost accounting
</li><li>Labor pro ductivity
</li>Service line analytics<br>
<li>
</li></ul><p></p><p><b>Key Responsibilities
</b></p><p><b>1. OmniView Data Warehouse Ownership (Primary Focus)
</b></p><ul><li>Support, maintain, and enhance the <b>OmniView enterprise data warehouse
</b></li><li>Design and optimize data models supporting:
<ul><li>Budgeting &amp; forecasting
</li><li>Cost accounting
</li><li>Labor productivity
</li><li>Service line analytics
</li></ul></li><li>Develop and manage ETL/ELT processes using <b>SQL Server (SSMS), SSAS
</b></li><li>Ensure high performance, reliability, and data quality
</li><li>Manage version control and deployments using <b>GitHub
</b></li><li>Partner with finance stakeholders to evolve the platform
</li></ul><p><b>2. Production Support &amp; Operations (Critical)
</b></p><ul><li>Own production support, monitoring, and maintenance of:
<ul><li>Data pipelines
</li><li>Data warehouse systems
</li><li>Reports and dashboards
</li></ul></li><li>Troubleshoot data issues, performance bottlenecks, and failures
</li><li>Implement monitoring, alerting, and incident response processes
</li><li>Ensure SLAs for critical financial reporting systems
</li><li>Continuously improve system stability and operational efficiency
</li></ul><p><b>3. Data Architecture &amp; Platform Design (Key Attribute)
</b></p><ul><li>Architect scalable, sustainable, and agile data platforms
</li><li>Work closely with system owners, finance leaders, and stakeholders
</li><li>Translate business needs into cohesive technical solutions
</li><li>Design end-to-end data flows across:
<ul><li>SQL Server ecosystem
</li><li>Microsoft Fabric
</li><li>Databricks
</li><li>BI tools
</li></ul></li><li>Drive modernization of legacy systems
</li></ul><p><b>4. Data Engineering &amp; Modern Platforms
</b></p><ul><li>Extend OmniView into modern platforms ( <b>Fabric, Databricks </b>)
</li><li>Build scalable data pipelines and integrations
</li><li>Optimize performance and cost efficiency
</li></ul><p><b>5. Data Science &amp; Advanced Analytics
</b></p><ul><li>Develop models for forecasting and financial insights
</li><li>Apply statistical and machine learning techniques
</li><li>Explore <b>AI / GenAI use cases (e.g., OpenAI)
</b></li></ul><p><b>6. Business Intelligence &amp; Reporting
</b></p><ul><li>Develop dashboards using <b>Power BI
</b></li><li>Enable self-service analytics for finance teams
</li><li>Deliver insights via strong data storytelling</li></ul></div><p></p>

Senior Data Engineer / Data Platform Architect

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you passionate about architecting scalable AI and data solutions alongside AWS's strategic partners? Do you have deep technical expertise in AI/ML technologies combined with the ability to guide partners in building innovative solutions for customers?<br>
<br>
Amazon Web Services (AWS) is seeking a Senior Partner Solutions Architect with proven experience in AI and data architecture to join our Partner Solutions Architecture team in North America. In this role, you will serve as a trusted technical advisor to our strategic partners, helping them architect secure and scalable AWS-integrated solutions that leverage AI/ML services and modern data platforms. You will work backwards from customer needs to design partner solutions that drive sustainable value and accelerate AWS adoption across thousands of advertisers and enterprises globally.<br>
<br>
Key job responsibilities<br>
Architect and design scalable AI/ML and data solutions with strategic partners using AWS services (Amazon Bedrock, SageMaker, Redshift, EMR, Kinesis, and other AI/data services)<br>
Provide technical leadership on complex partner opportunities, guiding solution architecture from ideation through production deployment<br>
Lead solution ideation sessions and technical account planning with partners to identify opportunities for AI/ML and data-driven solutions<br>
Conduct architectural reviews and provide best practices guidance on data platform design, ML pipelines, and AI solution patterns<br>
Design and implement agentic AI solutions using Amazon Bedrock AgentCore, AWS Strands Agents SDK, and multi-agent orchestration patterns<br>
Guide partners in building production-grade autonomous AI systems across horizontal (SDLC/application modernization) and vertical (industry-specific) use cases<br>
Drive partner enablement through technical workshops, immersion days, and thought leadership content focused on AI/ML and data architecture<br>
Collaborate with AWS product teams to provide partner feedback and influence AI/ML and data service roadmaps<br>
Ensure security, compliance, and architectural excellence in partner-built solutions through structured review frameworks<br>
Support partner competency development and certification in AI/ML and data analytics domains<br>
<br>
A day in the life<br>
Review and respond to partner technical questions via email and Slack. Join architecture review calls to validate partner solution designs. Write code samples and integration guides for partner engineering teams. Conduct hands-on workshops demonstrating AWS service integration patterns. Collaborate with AWS account teams on joint customer opportunities. Update technical documentation and reference architectures. Troubleshoot partner deployment issues and optimize performance. Meet with partner product managers/CPO/CTO to discuss roadmap alignment. Create demo environments showcasing joint solutions. Present solution to Partner's customers. Provide feedback to AWS service teams based on partner requirements.<br>
<br>
About the team<br>
The Partner Solutions Architecture team is a specialized group of technical experts who architect scalable solutions alongside Amazon's strategic partners. We serve as the bridge between AWS's capabilities and partner-built solutions that drive innovation globally. Our team operates through a structured engagement model supporting partners at multiple service levels - from dedicated annual planning with managed accounts to scaled community enablement through workshops and technical content. We measure success through design wins, partner revenue growth, API adoption, and the quality of solutions we help bring to market. Our culture values technical excellence, innovation leadership, and continuous learning as we shape how enterprises adopt transformative AI and data technologies.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>5+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics).</li><li>2+ years of technology/software sales experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage</li><li>Experience with data architecture, AI/ML solution design, or related technical roles</li><li>Experience architecting and implementing AI/ML solutions at scale, including experience with machine learning frameworks (TensorFlow, PyTorch, MXNet, scikit-learn) and ML platforms</li><li>AWS Certifications (Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty)</li><li>Experience in a customer-facing role such as solutions architect, technical consultant, or professional services</li><li>Experience with Deep Learning architectures and Transformer models (BERT, GPT, T5, etc.) including training, fine-tuning, and deployment at scale</li><li>Experience with Agentic AI Solution Framework including:</li><li>Multi-agent system architecture and orchestration patterns (supervisor agents, agent-to-agent collaboration)</li><li>Amazon Bedrock AgentCore implementation and AWS Strands Agents SDK</li><li>Integration with agentic frameworks (LangGraph, CrewAI, LangChain, AutoGen)</li><li>Agentic protocols including Model Context Protocol (MCP) and Agent-to-Agent (A2A)</li><li>Memory management strategies (short-term/long-term memory, session state, context management)</li><li>Tool integration and API orchestration for autonomous agent systems</li><li>Agent workflow patterns (ReAct, Chain-of-Thought, Reflexion, dynamic replanning)</li><li>Security, governance, and observability frameworks for production agent systems</li><li>Container-based agent deployment on Amazon EKS/ECS</li><li>Autonomous decision-making, contextual reasoning, and goal-oriented agent design</li><li>Hands-on experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Rekognition, Comprehend, Forecast) and AWS data services (Redshift, EMR, Glue, Kinesis, Lake Formation)</li><li>Experience with generative AI, large language models, RAG architectures, and agentic AI systems</li><li>Experience architecting production-grade MLOps pipelines and data governance frameworks</li><li>Background in partner enablement, technical training, or thought leadership</li><li>Experience working with consulting partners, systems integrators, or technology partners</li><li>Publications, presentations, or speaking engagements at industry conferences on AI/ML or data architecture topics</li><li>Strong business acumen with ability to connect technical solutions to business outcomes</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually<br>
USA, NY, New York - 169,000.00 - 228,600.00 USD annually<br>
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually<br>
USA, TX, Houston - 153,600.00 - 207,800.00 USD annually</div><p></p>

Senior Solutions Architect - Data Analytics & AI, Partner Solutions Architect

Coca-Cola HBC

<div><div><div><div><div><div><div><div>Egypt (Cairo) &bull; Greece (Athens) &bull; Bulgaria (Sofia)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><b>Department:</b> Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services<br>
</div><div></div><br>
<div>We are seeking a visionary Senior Data Modeler to architect the backbone of our next-generation AI ecosystem. In this role, you will move beyond legacy ETL patterns to build a Hub-and-Spoke data architecture that prioritizes interoperability and &quot;AI-readiness.&quot; The ideal candidate will be part of our enterprise insights and transformation agenda, helping translate fragmented knowledge assets across source systems, such as ERP, CRM, PLM, PIM/MDM, LIMS, Regulatory, DAM, and SCM, into trusted, reusable, and governed context packs for Agentic AI use cases.</div><div></div><div><b><br>
YOUR NEW KEY RESPONSIBILITIES:
</b></div><div><ul><li>Architecture &amp; Design (Hub-and-Spoke)
</li><li><ul><li>Design and implement a robust Hub-and-Spoke data model (e.g., Data Vault 2.0 or specialized Star Schema) to decouple core business entities from source-specific attributes.
</li><li>Establish &quot;Golden Records&quot; within the Hub to ensure a single version of truth for master data (Customer, Product, Asset).
</li><li>Standardize &quot;Spoke&quot; delivery layers to provide high-performance, domain-specific data marts for downstream AI/ML consumption. Design data structures for event-based, streaming integration patterns including structured and unstructured data.
</li></ul></li></ul></div><div><ul><li>Semantic Intelligence &amp; Ontology
</li><li><ul><li>Develop and maintain the Semantic Layer to abstract complex SQL logic into business-friendly terms.
</li><li>Map data relationships into an Ontology/Knowledge Graph format to support RAG (Retrieval-Augmented Generation) and AI reasoning.
</li><li>Define the logic for metrics, attributes, and hierarchies once, ensuring consistency across all AI agents and BI tools.
</li></ul></li></ul></div><div><ul><li>Data Cataloguing &amp; Discovery
</li><li><ul><li>Integrate data models with an Enterprise Data Catalog (e.g., Atlan, Purview).
</li><li>Automate metadata harvesting to ensure the catalog reflects real-time lineage, quality scores, and ownership.
</li><li>Tag data with semantic descriptors to enable AI-driven &quot;natural language to SQL&quot; capabilities.
</li></ul></li></ul></div><div><ul><li>AI Readiness &amp; Governance
</li><li><ul><li>Structure data to support feature stores and vector databases.
</li><li>Collaborate with Data Engineers to ensure &quot;Data-as-a-Product&quot; delivery standards.
</li><li>Enforce strict interoperable data modeling standards that prioritize data quality, privacy, and auditability.
</li>Lead Community of Practice for Data Modelling and drive continuous improvement.<br>
<li>
</li></ul></li></ul></div><div></div><br>
<div><b>ARE THESE YOUR SECRET INGREDIENTS?
</b></div><div><ul><li>BSc or MSc in relevant fields such as Computer Science, Information Science, Data Science, Artificial Intelligence, Knowledge Engineering, Computational Linguistics, or related discipline.
</li><li>2+ experience in Data Architecture, Semantic Architecture, Knowledge Architecture, Data Integration and Metadata Management.
</li><li>Data Vault 2.0, Dimensional Modeling (Kimball), 3NF, Strong understanding of one or more of the following: Knowledge Models, knowledge graphs, metadata storage, versioning, tagging and modelling.
</li><li>Experience with automated metadata management and line9age tools.
</li><li>Advanced SQL, Python (for metadata automation) / PySpark, and SPARQL/Cypher.</li><li>
Hands-on experience designing data architecture patterns to support RAG pipelines, prompt / grounding patterns, context orchestration and memory management. Understanding of how structured data feeds into Vector DBs and LLM contexts.</li><li>
Systems Thinking: Ability to see the &quot;Big Picture&quot; and how one change impacts the entire network.
</li><li>A definite advantage would be a passion for naming conventions and definitions&mdash;if the AI doesn't understand the column name, neither will the user.
</li><li>Acting as the bridge between the &quot;Data Producers&quot; (Engineers) and &quot;Data Consumers&quot; (Data Scientists).
</li><li>Experience with relevant technologies such as graph databases, vector / search platforms, semantic web technologies, event-based streaming platforms, and cloud AI / data ecosystems.
</li><li>Exposure to tools such as Databricks, Snowflake, Fabric, DBT, Looker, AtScale, Cube, Lakehouse, DeltaLake, Neo4j, Stardog, Ontotext GraphDB, Azure ecosystem, Kafka or equivalent streaming technology.
</li><li>Experience working with enterprise knowledge and data domains such as PLM, PIM / MDM, LIMS, Regulatory, DAM, ERP, SCM, or other structured and unstructured business data sources.
</li>Strong influencing, interpersonal, and communication skills, with the ability to work effectively across Data, AI, Technology, and business functions. Experience presenting solutions, trade-offs, and recommendations to senior management and technical leadership teams.<br>
<li>
</li></ul></div><div></div><br>
<div><b>ABOUT YOUR NEW TEAM:
</b></div><div>We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
</div><div>We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
</div><div>We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.<br>
</div><div></div><br>
<div><b>AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
</b></div><div>At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.<br>
</div></div></div></div></div></div><div></div><br>
<div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Coaching and mentoring programs</div>
</div></div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div></div></div></div></div></div></div>

Senior Data Modeler

<div>
 <p>
  <strong>
   Department:
  </strong>
  Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a visionary Senior Data Modeler to architect the backbone of our next-generation AI ecosystem. In this role, you will move beyond legacy ETL patterns to build a Hub-and-Spoke data architecture that prioritizes interoperability and "AI-readiness." The ideal candidate will be part of our enterprise insights and transformation agenda, helping translate fragmented knowledge assets across source systems, such as ERP, CRM, PLM, PIM/MDM, LIMS, Regulatory, DAM, and SCM, into trusted, reusable, and governed context packs for Agentic AI use cases.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES:
  </strong>
 </p>
 <ul>
  <li>
   Architecture &amp; Design (Hub-and-Spoke)
  </li>
  <li>
   Design and implement a robust Hub-and-Spoke data model (e.g., Data Vault 2.0 or specialized Star Schema) to decouple core business entities from source-specific attributes.
  </li>
  <li>
   Establish "Golden Records" within the Hub to ensure a single version of truth for master data (Customer, Product, Asset).
  </li>
  <li>
   Standardize "Spoke" delivery layers to provide high-performance, domain-specific data marts for downstream AI/ML consumption. Design data structures for event-based, streaming integration patterns including structured and unstructured data.
  </li>
  <li>
   Semantic Intelligence &amp; Ontology
  </li>
  <li>
   Develop and maintain the Semantic Layer to abstract complex SQL logic into business-friendly terms.
  </li>
  <li>
   Map data relationships into an Ontology/Knowledge Graph format to support RAG (Retrieval-Augmented Generation) and AI reasoning.
  </li>
  <li>
   Define the logic for metrics, attributes, and hierarchies once, ensuring consistency across all AI agents and BI tools.
  </li>
  <li>
   Data Cataloguing &amp; Discovery
  </li>
  <li>
   Integrate data models with an Enterprise Data Catalog (e.g., Atlan, Purview).
  </li>
  <li>
   Automate metadata harvesting to ensure the catalog reflects real-time lineage, quality scores, and ownership.
  </li>
  <li>
   Tag data with semantic descriptors to enable AI-driven "natural language to SQL" capabilities.
  </li>
  <li>
   AI Readiness &amp; Governance
  </li>
  <li>
   Structure data to support feature stores and vector databases.
  </li>
  <li>
   Collaborate with Data Engineers to ensure "Data-as-a-Product" delivery standards.
  </li>
  <li>
   Enforce strict interoperable data modeling standards that prioritize data quality, privacy, and auditability.
  </li>
  <li>
   Lead Community of Practice for Data Modelling and drive continuous improvement.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <ul>
  <li>
   BSc or MSc in relevant fields such as Computer Science, Information Science, Data Science, Artificial Intelligence, Knowledge Engineering, Computational Linguistics, or related discipline.
  </li>
  <li>
   2+ experience in Data Architecture, Semantic Architecture, Knowledge Architecture, Data Integration and Metadata Management.
  </li>
  <li>
   Data Vault 2.0, Dimensional Modeling (Kimball), 3NF, Strong understanding of one or more of the following: Knowledge Models, knowledge graphs, metadata storage, versioning, tagging and modelling.
  </li>
  <li>
   Experience with automated metadata management and line9age tools.
  </li>
  <li>
   Advanced SQL, Python (for metadata automation) / PySpark, and SPARQL/Cypher.
  </li>
  <li>
   Hands-on experience designing data architecture patterns to support RAG pipelines, prompt / grounding patterns, context orchestration and memory management. Understanding of how structured data feeds into Vector DBs and LLM contexts.
  </li>
  <li>
   Systems Thinking: Ability to see the "Big Picture" and how one change impacts the entire network.
  </li>
  <li>
   A definite advantage would be a passion for naming conventions and definitions&mdash;if the AI doesn't understand the column name, neither will the user.
  </li>
  <li>
   Acting as the bridge between the "Data Producers" (Engineers) and "Data Consumers" (Data Scientists).
  </li>
  <li>
   Experience with relevant technologies such as graph databases, vector / search platforms, semantic web technologies, event-based streaming platforms, and cloud AI / data ecosystems.
  </li>
  <li>
   Exposure to tools such as Databricks, Snowflake, Fabric, DBT, Looker, AtScale, Cube, Lakehouse, DeltaLake, Neo4j, Stardog, Ontotext GraphDB, Azure ecosystem, Kafka or equivalent streaming technology.
  </li>
  <li>
   Experience working with enterprise knowledge and data domains such as PLM, PIM / MDM, LIMS, Regulatory, DAM, ERP, SCM, or other structured and unstructured business data sources.
  </li>
  <li>
   Strong influencing, interpersonal, and communication skills, with the ability to work effectively across Data, AI, Technology, and business functions. Experience presenting solutions, trade-offs, and recommendations to senior management and technical leadership teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABOUT YOUR NEW TEAM:
  </strong>
 </p>
 <p>
  We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 </p>
 <p>
  We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 </p>
 <p>
  We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 </p>
</div>


Draper

<div><p><b>Overview:</b></p><p>
Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.</p><p></p><p><b>
Job Description Summary:</b></p>
The Data Retrieval, Engineering, Architecture, and Management (DREAM) Group at Draper is seeking a Digital Engineering Data Solutions Architect to develop next generation Relational Cross Domain Data Digital Engineering Architecture for domains such as: strategic deterrent systems, missile defense systems, hypersonic missiles, space systems, precision guided munitions, and autonomous air/sea vehicles. Our multi-disciplinary teams innovate and develop solutions for full system development lifecycle in areas of importance for national security.
<br>
<br>
Draper has adopted an integrated, model-driven digital mindset in solving Systems Engineering problems spanning the entire lifecycle. From early-lifecycle conceptual system design and architecture, detailed modeling, model-driven customer reviews, verification and validation, integration and testing, to deployment, surveillance and performance monitoring, Draper has a suite of Digital Engineering solution needs across our projects. Our thinking spans the entire gamut, from &ldquo;as-designed&rdquo; to &ldquo;as-deployed&rdquo; lifecycle phases in supporting uncompromised delivery of solutions.
<br>
<br>
For this role, the ideal candidate will work as part of an interdisciplinary team. The candidate will support the development of digital capabilities like digital twins and digital threads, working closely with experienced engineers to learn and apply best practices.
<br>
<br>
This role provides a foundation for growing expertise in data architecture, systems engineering, and advanced computing, with opportunities to contribute to innovative solutions. Communications and interpersonal skills are highly valued in this role. The ability to communicate technical concepts effectively with customers, engineers, managers, and other stakeholders of all relevant disciplines is a must. Flexibility to multi-task and adapt to evolving priorities will be required. We value continuous learning and professional growth.<p></p><p><b>
Job Description:</b></p><div><b>
Duties/Responsibilities</b><br>
<ul><li>Independently execute system engineering lifecycle assignments.</li><li>Adapt appropriately to changes in program priorities and requirements.</li><li>Adheres to existing best practices and Quality Management System processes.</li><li>Continues to expand their depth/knowledge in their technical discipline through formal and informal learning.</li><li>Work within multi-disciplinary teams and independently execute assignments</li><li>Drive solutions to complex problems with limited direction</li><li>Lead small teams (few than five people) and align team towards program goals.
</li><li>Provides insight and suggests design modifications based on analysis outcomes, and to apply analysis techniques across a range of technical challenges</li><li>Identify program/system-level technical risks and develop and execute mitigation strategies.</li><li>Actively mentor less experienced engineers and provide thoughtful, constructive feedback</li><li>Performs other duties as assigned.</li></ul><br>
<b>
Skills/Abilities</b><br>
<ul><li>Highly-organized, capable of approaching problems with a system-level perspective.</li><li>Strong oral and written communication skills.</li><li>Practical experience with simulation-based performance analysis.</li><li>Practical experience with the systems engineering process.</li><li>Roles may require proficiency with modeling and simulation, computer language coding, descriptive modeling (e.g. SysML), STPA, and/or other engineering analysis tools</li><li>Knowledge of GN&amp;C, avionics architectures, fault tolerance, cyber/security, comms/encryption, threat modeling or other technologies may be required as defined in the summary.
</li></ul><br>
<b>Education</b><br>
Bachelor's degree in engineering, physics, mathematics, or related field. Masters degree or higher preferred.<br>
<br>
<b>Experience</b><br>
5-10 years experience as systems engineer or related role.<br>
<br>
<br>
</div><p></p><p><b>Additional Job Description:</b></p><p>
Desired qualifications include:</p><ul><li>
Prior Experience in Architectures frameworks, certifications are a plus</li></ul><ul><li>
Prior experience in technical leadership</li><li>
Experience with React Java libraries. Kotlin, Python</li><li>
2-4 years of experience in Digital Engineering using sound Systems Engineering principles</li></ul><ul><li>
Experience in data visualization and story boarding
</li><li>Thorough knowledge/proven experience as a DBA</li><li>
Prior experience in architecture and development of Digital twin and thread</li></ul><ul><li>
Experience in integrating various data sources and transactions</li><li>
Functional experience with Java</li><li>
Knowledge/experience with team software development (sprints, git, code reviews, pair programming)</li><li>
Support the integration and management of diverse data sources across project areas.</li><li>
Proven ability architecting DBs <b><i>AND</i></b> upgrading/improving schema of existing DBs</li><li>
Knowledge of open source Databases (postgres a must)</li><li>
Thorough knowledge/proven experience as a Database administration</li><li>
Assist in creating, analyzing, and presenting technical data, software and models to support system analysis, performance assessments, and decision-making.</li><li>
Learn to communicate technical concepts effectively to stakeholders at all levels.</li><li>
Experience with various types of data, data states, frequency, volume</li><li>
Knowledge and interest in interdisciplinary work spanning Systems Engineering, Machine Learning, Database Administration and Data Science.
</li></ul><p></p><p>Applicants selected for this opportunity will be required to obtain and maintain a government security clearance.</p><p></p><p>
Secret Clearance is preferred.</p><p></p><p><br>
Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration.</p><p></p><p><b>
Job Location - City:</b></p>
Cambridge<p></p><p><b>
Job Location - State:</b></p>
Massachusetts<p></p><p><b>
Job Location - Postal Code:</b></p>
02139-3563<p></p><p>
The US base salary range for this full-time position is</p>
$82,300.00 - $220,000.00<p><i>
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. </i><i>Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role.</i><i> </i><i>Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</i><i> </i><i>Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits.</i></p><p></p><p>
Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&amp;D innovation company appeals to you, apply now www.draper.com/careers.</p><p></p><p>
Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.</p></div>

Senior Digital Engineering Data Solutions Architect

PLUME

<div><div><b>About Plume:</b></div><div></div><div><br>
Plume is a passion-fueled, mission-driven company that is trans-founded with a vision to transform healthcare for every trans life. We hope to make gender-affirming hormone therapy easily accessible at the touch of a button in every state of the US.</div><div></div><div><br>
This work is deeply personal and heart-driven, and we want teammates who care about the mission and the people we serve. For the right candidates, we present a rare opportunity to do well by doing good. Plume offers an affirming, trans-centered, culturally inclusive, and fun work environment filled with purpose.</div><div></div><h3 class="jobSectionHeader"><b><br>
About the Role</b></h3>
<div>
<p>The Senior Data and AI Engineer is a high-impact individual contributor on the Data and AI team. This role will be tasked with building, maintaining, and optimizing the data pipelines, transformation models, and BI deliverables. Applied AI (RAG pipelines, MLOps) is a growing area of the role, not the primary focus today.</p>
<p>
The right person for the role will be a skilled, self-sufficient engineer who takes well-defined architectural direction and executes it with precision, quality, and ownership. They will also contribute their own technical judgment to day-to-day implementation decisions.</p>
<p>
They are deeply hands-on: writing production dbt models, building Airflow DAGs, delivering clinical dashboards, and contributing to RAG pipelines and MLOps workflows within a regulated healthcare environment. You will also work closely with offshore contractors, reviewing their work, providing feedback, and ensuring output meets the team's quality and engineering standards.</p>
<p>
The ideal candidate will have a strong command of cloud data warehousing, dimensional modeling, Python, and applied AI tooling, as well as a collaborative mindset that thrives in a team-oriented environment. This role is an excellent opportunity for a senior engineer looking to deepen their full-stack data and AI expertise alongside experienced technical leadership.</p>
</div>
<h3 class="jobSectionHeader"><b>Responsibilites:</b></h3><div>
<ul><li>Building and maintaining production-grade data pipelines in cloud data warehouses such as Google BigQuery or equivalent, following architectural standards set by the Director of Data and AI.</li>
<li>Designing and developing dbt models across bronze, silver, and gold layers, including a focus on quality and governance via automated tests, documentation, and incremental load strategies.</li>
<li>Creating and optimizing Airflow DAGs for data workflow orchestration, including scheduling, dependency management, error handling, and alerting.</li>
<li>Implement dimensional data models and data mart structures &mdash; guided by the team's modeling standards &mdash; that support clinical BI and ML feature consumption.</li>
<li>Crafting easy-to-understand visualizations and dashboards that align with commonly used business analytic standards in Looker or equivalent BI tools in close collaboration with product analytics, finance, operations, growth, and clinical stakeholders.</li>
<li>Integrating healthcare data from sources such as EHRs, Stripe, 3rd-party APIs, and application database feeds, normalizing incoming data into the unified data platform.</li>
<li>Applying HIPAA-compliant data handling practices, including PHI/PII masking, tokenization, audit logging, and role-based access controls across all pipeline and AI system work.</li>
<li>Architecting and implementing RAG pipelines &mdash; including document ingestion, chunking, embedding generation, and retrieval &mdash; using frameworks such as LangChain or LangGraph</li>
<li>Supporting MLOps workflows, including model training pipeline maintenance, deployment support, performance monitoring, and retraining triggers</li>
<li>Code reviewing PRs from teammates, providing constructive technical feedback to peers, and upholding the team's engineering standards.</li>
<li>Collaborating closely with product managers to understand requirements and deliver reliable data and AI products.</li>
<li>Monitoring and triaging assigned pipeline and data quality failures, escalating architectural issues as appropriate.</li>
<li>Documenting pipeline designs, data models, and technical decisions in alignment with the team's governance and lineage tracking standards.</li>
<li>Evaluating new tools and frameworks, providing hands-on prototyping and technical assessments.</li>
</ul></div><h3 class="jobSectionHeader"><b>Must-Have Requirements:</b></h3><ul>
<li>5+ years of hands-on experience in data engineering, analytics engineering, or a closely related role.</li>
<li>2+ years of experience working within the healthcare industry, including working knowledge of healthcare data standards, clinical workflows, regulated data environments, and domain-specific data visualizations.</li>
<li>Working knowledge of HIPAA &mdash; including PHI/PII classification, data masking, audit logging, and access control requirements.</li>
<li>Proven production experience with at least one major cloud data warehouse: BigQuery, Snowflake, or Redshift &mdash; including advanced SQL and query optimization.</li>
<li>Strong hands-on experience with dbt (Core or Cloud), including incremental models, tests, documentation, and multi-environment workflows.</li>
<li>Deep experience with Apache Airflow for workflow orchestration, including DAG design, scheduling, monitoring, and failure handling.</li>
<li>Demonstrated knowledge of dimensional data modeling &mdash; star/snowflake schemas, SCD Types 1/2, fact and dimension table design.</li>
<li>Hands-on experience delivering dashboards and reports in at least one enterprise BI tool: Looker, Power BI, Tableau, Qlik, etc.</li>
<li>Proficiency in Python for data pipeline development, API integrations, and automation (Pandas, PySpark, or similar).</li>
<li>Practical exposure to RAG pipeline development and LLM integration using LangChain, LangGraph, or LlamaIndex</li>
<li>Hands-on exposure to MLOps concepts &mdash; model deployment, monitoring, and retraining workflows</li>
<li>Knowledge of CI/CD tooling for data and AI workloads (GitHub Actions, dbt Cloud CI)</li>
<li>Strong understanding of data quality and governance principles: lineage, access controls, data contracts, and automated testing and experience with data governance tools such as OpenMetadata</li>
<li>Excellent written and verbal communication skills with the ability to collaborate effectively across engineering, analytics, and clinical teams</li>
<li>Ability to work independently on assigned workstreams while keeping the Director and team informed of progress, blockers, and risks</li>
</ul><h3 class="jobSectionHeader"><b>Nice-to-have:</b></h3><div>
<ul><li>Experience with real-time or streaming data pipelines using Kafka, Kinesis, or Pub/Sub, particularly for ADT or clinical event feeds.</li>
<li>Knowledge of vector databases such as Pinecone, Weaviate, FAISS, or Chroma</li>
<li>Familiarity with responsible AI principles, including bias detection and model explainability in a healthcare context</li>
<li>Experience with data observability tools such as Monte Carlo, Bigeye, or Soda</li>
<li>Familiarity with data lakehouse patterns (Delta Lake, Iceberg, Apache Hudi)</li>
<li>Experience working toward or maintaining SOC2 or HITRUST certification</li>
<li>Familiarity with semantic layer tools (Looker LookML, dbt Semantic Layer)</li>
<li>Experience with population health, revenue cycle, or clinical quality reporting datasets</li>
<li>Exposure to Kubernetes or containerized ML workloads</li>
</ul>
</div><p><b>Applications for this role will be accepted until Friday, April 17th. Interviews with qualified applicants may begin before the closing date.</b></p><div><b>
All Full-Time Employees are Eligible for:</b></div><div></div><ul><li><br>
Ground-Floor Equity (Series B)</li><li>Free Medical, Dental, and Vision on the first of the month after you start full-time work</li><li>Unlimited PTO</li><li>11 paid holidays and company shut-down for a week in December</li><li>401(k)</li><li>Free Plume and BetterHelp Subscriptions</li></ul><div></div><div><br>
Everyone associated with Plume gets the major benefit of having the best coworkers you could imagine if you love fiercely intelligent, heart-forward, and mission-driven collaborators.</div><div></div><div><br>
At Plume, we structure our compensation to reflect cost-of-living differences across regions. Our salary tiers are based on the cost of living relative to the national average. We use these tiers to maintain fair and competitive compensation across all locations. <b>Tier placement will be discussed during the offer stage.</b></div><div></div><div><br>
Plume is an equal-opportunity employer. Trans and gender-nonconforming individuals are strongly encouraged to apply, particularly those who identify as People of Color. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will provide reasonable accommodations to individuals with disabilities upon request. Please let us know if you require any accommodations to apply or interview for this position.</div><div></div><div><br>
Only those legally authorized to work in the USA are eligible to apply; residency in the USA is a requirement of employment for this role.</div><div></div><div><br>
Discover more about Plume at www.getplume.co and become part of our award-winning journey towards transforming healthcare for every trans life. Join us today in shaping the future of healthtech and LGBTQ+ care!</div><div></div><div><b><br>
Please be aware that employment scams are on the rise.</b> Plume will only contact candidates using an official &quot;@getplume.co&quot; email address. Plume does not conduct interviews via email and will never request banking information through text or email. Please protect your information!</div><div></div><div><i><br>
We&rsquo;re so grateful for your interest in joining our team! To help us keep our operations running smoothly and ensure fair consideration for all candidates, we kindly ask that you refrain from reaching out to staff members directly regarding open roles.</i></div></div>

Senior Data Engineer (Data + Applied AI)

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