data solutions architect

ITC Worldwide

<div>
 
 Remote | part-time 20+ hours per week
 
 
 
 
 Flex: Work Hours: (0800 GMT - 2359 GMT)
 
 
 
 We are seeking a highly skilled
 
 Dataverse Architect
 
 to design and build enterprise-grade solutions using Microsoft Power Platform. This role focuses on secure Dataverse architecture, business application modernization, Azure integrations, and automation strategy.
 
 
 
 You Will:
 
 
 
 <ul>
 <li>
 Architect Dataverse environments and enterprise data models
 </li>
 <li>
 Build model-driven and canvas apps
 </li>
 <li>
 Implement Power Automate workflows and Azure integrations
 </li>
 <li>
 Define governance, ALM, and security best practices
 </li>
 <li>
 Lead modernization projects (e.g., Learning Management Apps, workflow automation, CRM/ERP extensions)
 
 
 
 </li>
 </ul>
 
 You Need:
 
 
 
 <ul>
 <li>
 5+ years Power Platform experience
 </li>
 <li>
 Dataverse architecture expertise
 </li>
 <li>
 Strong Azure integration skills
 </li>
 <li>
 Experience with DevOps, governance, and solution lifecycle management
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Microsoft PL‑600 (Solution Architect Expert)
 </li>
 <li>
 Microsoft PL‑400 (Power Platform Developer)
 </li>
 <li>
 Microsoft Azure Architect credentials (AZ‑305 or equivalent)
 </li>
 <li>
 Experience in enterprise modernization, or digital transformation projects
 
 
 
 </li>
 </ul>
 If you build scalable, modern, data-driven business applications, wed love to meet you.
</div>

Data Solution Architect – Dataverse Developer

PROZ TECHNOLOGIES

JOB DESCRIPTIONThe Data &amp; Analytics Architect defines and governs the end-to-end data architecture for TASMU Platform 2.0, enabling trusted data products, analytics, and reporting across smart-city domains. The role designs cloud-agnostic data platform patterns (lakehouse, streaming, semantic layers), ensures interoperability across vendor solutions, and aligns data delivery with governance, security, and privacy requirements. Working with MCIT, Ooredoo, sector stakeholders, and multiple delivery vendors, the architect defines reference architectures, data modeling standards, and performance/availability targets, and provides assurance through design reviews and implementation checkpoints. The role ensures analytics outputs are reliable, scalable, and operationally supportable.DUTIES &amp; RESPONSIBILITIES<ul><li>Define TASMU data platform reference architecture (lakehouse, streaming, batch, semantic/BI, data products).</li><li>Establish patterns for ingestion (APIs, events, IoT), transformation, and orchestration with portability in mind.</li><li>Define data modeling standards: canonical models, domain-driven data products, dimensional modeling, and master data practices.</li><li>Specify analytics architecture: semantic layer, KPI definitions, dashboards, and self-service analytics enablement.</li><li>Define performance, scalability, and availability requirements for data workloads; partitioning, indexing, and cost optimization.</li><li>Align data architecture with governance/privacy/security leads (classification, lineage, retention, CMK, DLP, access controls).</li><li>Define reference designs for operational analytics (observability dashboards), near-real-time reporting, and event-driven analytics.</li><li>Govern integration of vendor-delivered data stores and BI/reporting tooling; ensure consistent data contracts and quality checks.</li><li>Define data quality framework (validations, monitoring, SLAs, issue workflows) and reporting for data health.</li><li>Provide architecture assurance: review vendor designs, validate implementations, and support go-live readiness and DR planning.</li></ul>SKILLS &amp; ABILITIES<ul><li>Strong knowledge of modern data architectures (lakehouse, streaming, ELT/ETL, semantic layers, data products).</li><li>Ability to design scalable, secure, and cost-effective analytics solutions in multi-tenant, regulated environments.</li><li>Proficiency in data modeling (dimensional + domain-oriented), data quality, and metadata/lineage practices.</li><li>Experience defining actionable KPIs and ensuring consistent metric definitions across stakeholders.</li><li>Strong documentation and communication skills to align vendors and business owners on data contracts and standards.</li></ul>POTENTIAL BACKGROUND<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Cybersecurity, a Master&rsquo;s degree is highly preferred.</li><li>8+ years in data architecture, analytics engineering, or BI platform roles in enterprise settings.</li><li>Experience delivering data platforms on cloud/hybrid environments and integrating multiple vendor solutions.</li><li>Hands-on exposure to streaming/event-driven data (Kafka/Event Hubs) and orchestration (Airflow/ADF-like tools).</li><li>Experience with BI/semantic layers and large-scale dashboarding programs (Power BI/Tableau/Looker).</li><li>Familiarity with governance in regulated environments (classification, retention, auditability, privacy-by-design).</li></ul>PREFERRED TOOLS / SOFT SKILLSPreferred tools:<ul><li>Data platforms: Databricks/Spark, lakehouse table formats (Delta/Iceberg), object storage (Blob/S3/GCS)</li><li>Streaming &amp; orchestration: Kafka/Event Hubs, Airflow/ADF-style orchestration, dbt (optional)</li><li>Analytics: Power BI (preferred), semantic models, SQL engines (Synapse/Trino/BigQuery equivalents)</li></ul>Soft skills:<ul><li>Ability to align diverse stakeholders on a single &ldquo;source of truth&rdquo; for metrics and data definitions</li><li>Strong analytical thinking and structured problem solving</li><li>Pragmatic prioritization balancing performance, cost, and governance constrain</li><li>Collaborative leadership across vendors and internal teams</li><li>Clear communication of complex data concepts to non-technical audiences</li></ul>Job Type: PermanentPay: Up to QAR24,000.00 per month

Data & Analytics Architect

Starlink Qatar

<div>
 
 The
 
 Data &amp; Analytics Architect
 
 defines and governs the end-to-end data architecture for enterprise platforms, enabling trusted data products, analytics, and reporting across multiple domains. The role designs cloud-agnostic data platform patterns (lakehouse, streaming, semantic layers), ensures interoperability across vendor solutions, and aligns data delivery with governance, security, and privacy requirements.
 
 
 Working with stakeholders, technical teams, and multiple delivery vendors, the architect defines reference architectures, data modeling standards, and performance/availability targets, and provides assurance through design reviews and implementation checkpoints. The role ensures analytics outputs are reliable, scalable, and operationally supportable.
 
 
 
 
 
 
 Duties &amp; Responsibilities
 
 
 <ul>
 <li>
 Define data platform reference architecture (lakehouse, streaming, batch, semantic/BI, data products).
 </li>
 <li>
 Establish patterns for data ingestion (APIs, events, IoT), transformation, and orchestration with portability in mind.
 </li>
 <li>
 Define data modeling standards: canonical models, domain-driven data products, dimensional modeling, and master data practices.
 </li>
 <li>
 Specify analytics architecture: semantic layer, KPI definitions, dashboards, and self-service analytics enablement.
 </li>
 <li>
 Define performance, scalability, and availability requirements for data workloads; implement partitioning, indexing, and cost optimization.
 </li>
 <li>
 Align data architecture with governance, privacy, and security requirements (classification, lineage, retention, encryption, DLP, access controls).
 </li>
 <li>
 Define reference designs for operational analytics, near-real-time reporting, and event-driven analytics.
 </li>
 <li>
 Govern integration of vendor-delivered data stores and BI/reporting tooling; ensure consistent data contracts and quality checks.
 </li>
 <li>
 Define and monitor data quality framework: validations, monitoring, SLAs, issue workflows, and reporting for data health.
 </li>
 <li>
 Provide architecture assurance: review vendor designs, validate implementations, and support go-live readiness and disaster recovery planning.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Abilities
 
 
 <ul>
 <li>
 Strong knowledge of modern data architectures (lakehouse, streaming, ELT/ETL, semantic layers, data products).
 </li>
 <li>
 Ability to design scalable, secure, and cost-effective analytics solutions in multi-tenant, regulated environments.
 </li>
 <li>
 Proficiency in data modeling (dimensional + domain-oriented), data quality, and metadata/lineage practices.
 </li>
 <li>
 Experience defining actionable KPIs and ensuring consistent metric definitions across stakeholders.
 </li>
 <li>
 Strong documentation and communication skills to align vendors and business owners on data contracts and standards.
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Background
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Information Technology, Cybersecurity
 
 , or related field; Master&rsquo;s degree highly preferred.
 </li>
 <li>
 8+ years in data architecture, analytics engineering, or BI platform roles in enterprise settings.
 </li>
 <li>
 Experience delivering data platforms in cloud/hybrid environments and integrating multiple vendor solutions.
 </li>
 <li>
 Hands-on exposure to streaming/event-driven data (Kafka/Event Hubs) and orchestration (Airflow/ADF-like tools).
 </li>
 <li>
 Experience with BI/semantic layers and large-scale dashboarding programs (Power BI/Tableau/Looker).
 </li>
 <li>
 Familiarity with governance in regulated environments (classification, retention, auditability, privacy-by-design).
 </li>
 </ul>
 
 
 
 
 
 Preferred Tools / Soft Skills
 
 
 
 
 Preferred Tools
 
 
 <ul>
 <li>
 Data platforms: Databricks/Spark, lakehouse table formats (Delta/Iceberg), object storage (Blob/S3/GCS)
 </li>
 <li>
 Streaming &amp; orchestration: Kafka/Event Hubs, Airflow/ADF-style orchestration, dbt (optional)
 </li>
 <li>
 Analytics: Power BI (preferred), semantic models, SQL engines (Synapse/Trino/BigQuery equivalents)
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Ability to align diverse stakeholders on a single &ldquo;source of truth&rdquo; for metrics and data definitions
 </li>
 <li>
 Strong analytical thinking and structured problem solving
 </li>
 <li>
 Pragmatic prioritization balancing performance, cost, and governance constraints
 </li>
 <li>
 Collaborative leadership across vendors and internal teams
 </li>
 <li>
 Clear communication of complex data concepts to non-technical audiences
 </li>
 </ul>
</div>

Charles Schwab

<div><h2 class="jobSectionHeader">Your opportunity</h2> 
At Schwab, you&rsquo;re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us &ldquo;challenge the status quo&rdquo; and transform the finance industry together.<div> 
Job Duties: Prototype data solutions to enable faster access to data for the analytics use case developers. Develop re-usable data solution patterns to enable quick-to-market data assets. Analyze &amp; profile business data on relational and Big Data environments. Manage day-to-day re-usable framework development activities for new data solutions and troubleshooting existing solutions. Partner with product owners and directors to lead technical discussions and resolve technical issues. Apply best practices of data integration for data quality and automation. Partner with the product vendors to identify and manage open product issues. Solve complex data integration problems. Work with project development teams and technology partners to develop high-level designs and cost and effort estimates for new framework development efforts. Architect, design, and develop solutions and provide supporting documentation.
</div><h2 class="jobSectionHeader">What you have</h2> 
Job Requirements: Requires Bachelor&rsquo;s or Master's in Computer Science, Management Information Systems, or a related field and 60 months of progressive, post-Bachelor&rsquo;s experience in a related occupation (60 months w/ bachelor&rsquo;s, or 48 months w/master&rsquo;s). . Experience must include 48 months of experience involving the following: Big Query and Google Cloud Platform; Oracle, SQL, and PL/SQL; Developing and delivering ETL/ ELT solutions in Python and Informatica; CICD/DevOps Tools including Git, Bitbucket, Jenkin, Bamboo, and Github; Data Warehousing principles; Unix and Bash scripting languages; and RESTful web services &amp; APIs on Google Cloud Platform. 
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab&rsquo;s internal approach to workplace flexibility).<div><h2 class="jobSectionHeader"> 
What&rsquo;s in it for you</h2>
At Schwab, you&rsquo;re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration&mdash;so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you &ndash; both today and in the future:<ul><li>
401(k) with company match and Employee stock purchase plan</li><li>
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions</li><li>
Paid parental leave and family building benefits</li><li>
Tuition reimbursement</li><li>
Health, dental, and vision insurance</li></ul></div></div>

Manager, Data Engineering

Credera

<div><div>Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents. Our commitment to our people and work has been recognized globally. Please visit our employer awards page: https://www.credera.com/awards-and-recognition.</div>
As a Senior Architect in Credera's Data capability group, you will lead teams in implementing modern data architecture, data engineering pipelines, and advanced analytical solutions. Our projects range from designing and implementing the latest data platform approaches (i.e. Lakehouse, DataOps, Data Mesh) using best practices and cloud solutions, building scalable data and ML pipelines, democratizing data through modern governance approaches, and delivering data products using advanced machine learning, visualization, and integration approaches.

You will act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements, serve as a technical expert in client communications, and mentor junior project team members. On a typical day, you might expect to participate in design sessions, build data structures for an enterprise data lake or statistical models for a machine learning algorithm, coach junior resources, and manage technical backlogs and release management tools. Additionally, you will seek out new business development opportunities at existing and new clients.

WHO YOU ARE:
<ul>
<li>You have a minimum of 8+ years of technical, hands-on experience building, optimizing, and implementing data pipelines and architecture</li>
<li>Experience leading teams to wrangle, explore, and analyze data to answer specific business questions and identify opportunities for improvement</li>
<li>You are a highly driven professional and enjoy serving in a fast-paced, dynamic client-facing role where delivering solutions to exceed high expectations is a measure of success</li>
<li>You have a passion for leading teams and providing both formal and informal mentorship</li>
<li>You have strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level</li>
<li>You have a deep understanding of data governance and data privacy best practices</li>
<li>You incorporate the usage of AI tooling, efficiencies, and code assistance tooling in your everyday workflows</li>
<li>You have a degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems or a related field of study</li>
<li>The ideal candidate will have recent technical knowledge of the following:</li>
<li><ul><li>Programming languages (e.g. Python, Spark, Java, C++, Scala, etc.)</li>
<li>SQL and NoSQL databases (MySQL, DynamoDB, CosmosDB, Cassandra, MongoDB, etc.)</li>
<li>Data pipeline and workflow management tools (Airflow, Dagster, AWS Step Functions, Azure Data Factory, etc.)</li>
<li>Stream-processing systems (e.g. Storm, Spark-Streaming, Pulsar, Flink, etc.)</li>
<li>Data Warehouse design (Databricks, Snowflake, Delta Lake, Lake formation, Iceberg)</li>
<li>MLOps platforms (Sagemaker, Azure ML, Vertex.ai, MLFlow)</li>
<li>Container Orchestration (e.g. Kubernetes, Docker Swarm, etc.)</li>
<li>Metadata management tools (Collibra, Atlas, DataHub, etc.)</li>
</ul></li><li>Experience with the data platform components on one or more of the following cloud service providers:</li>
<li><ul><li>AWS</li>
<li>Google Cloud Platform</li>
<li>Azure</li>
</ul></li>
</ul>Basic Qualifications
<ul>
<li>Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success</li>
<li>Contribute in a team-oriented environment</li>
<li>Prioritize multiple tasks in order to consistently meet deadlines</li>
<li>Creatively solve problems in an analytical environment</li>
<li>Adapt to new environments, people, technologies and processes</li>
<li>Excel in leadership, communication, and interpersonal skills</li>
<li>Establish strong work relationships with clients and team members</li>
<li>Generate ideas and understand different points of view</li>
</ul><div>
Learn More: Credera is part of Omnicom Precision Marketing that delivers transformative solutions rooted in data, technology, and AI. Omnicom Precision Marketing delivers precisely targeted and meaningful customer experiences at scale. Using its universal framework of connected data, connected intelligence and connected experiences, OPM provides services that include data-driven product / service design, technology strategy and implementation, CRM / loyalty strategy and activation, econometric and attribution modelling, technical and business consulting and digital experience design and development.
Compensation: The salary range listed is provided for informational purposes only. Credera treats all applicants as individuals, considering, but not limited to, their professional and academic experience, specialized training, certifications, and associated responsibilities as they relate to our specific industry. The salary range listed is just one component of our total compensation package for each unique employee.

We believe in recognizing and rewarding contributions at every level. While senior-level employees are eligible for a variable component as part of their compensation package, we are committed to supporting the growth and development of all team members. As employees progress in their careers, everyone will have opportunities to take on new responsibilities and become eligible for additional rewards. We strive to create an environment where everyone is empowered to succeed and advance.

Benefits: Credera provides a competitive salary and a comprehensive benefits plan. Benefits include health, mental health, vision, dental, and life insurance, prescriptions, fertility and adoption benefits, community service days, paid parental leave, PTO, 14 paid holidays, matching 401(k), Healthcare &amp; Dependent Flexible Spending Accounts, and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com.

Hybrid Working Model: Our employees have the flexibility to work remotely two days a week. We expect team members to spend three days in person, with the freedom to choose the days and times that best suit them, their project, and their teams. You'll collaborate with your project team to balance flexibility with the benefits of in-person connection, delivering outstanding results for our clients. The Why: In-person engagement is essential for building strong relationships with clients and colleagues. It fosters trust, encourages learning, and helps us grow as consultants and professionals.

Travel: For our consulting roles, our goal is to minimize travel, and most projects do not require extensive travel. While some projects may involve up to 80% travel for a period, the annual average for team members is typically 10%&ndash;30%. We take a personal approach to travel by considering your submitted preferences when assigning roles.

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Credera will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa). 

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, age, genetic information, veteran status, or disability.

Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinize, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.</div></div>

Senior Architect, Data

Eli Lilly

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.<h2 class="jobSectionHeader">
Position: Data Architect, Data Foundry</h2>
Location: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN<h1 class="jobSectionHeader">
Overview</h1>
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation &amp; Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities&mdash;serving both human scientists and autonomous AI agents.<h1 class="jobSectionHeader">
Position Summary</h1>
We are seeking Data Architects at multiple levels to design and build the data infrastructure that makes AI-native drug discovery possible. You will create the schemas, ontologies, data models, knowledge graphs, and platform architectures that transform raw scientific data into machine-actionable, FAIR-compliant, insight-ready assets&mdash;serving both discovery scientists and autonomous AI agents.
This role is the foundation of Architecture4Insight. Everything the software engineering team builds&mdash;pipelines, APIs, prototypes&mdash;depends on the data models and platform architecture this team designs. You will work with deep knowledge of scientific data (chemical, biological, HTE, automation-generated) to create custom-fit solutions, then partner with Tech@Lillyto scale and maintain them. The role spans three focus areas depending on expertise: data modeling &amp; ontologies, data platform &amp; lakehouse architecture, and knowledge graph &amp; specialized data systems.<h1 class="jobSectionHeader">
Responsibilities</h1><h2 class="jobSectionHeader">
Data Modeling &amp; Ontologies</h2><ul><li>
Design and implement data models, schemas, and ontologies for chemical, biological, and automation-generated data that serve discovery workflows across the portfolio.</li><li>
Define and maintain controlled vocabularies, metadata standards, and FAIR-compliant data frameworks in partnership with Preparedness4Insight.</li><li>
Implement semantic data standards (RDF, OWL, SPARQL) and ontology engineering practices to create interoperable, machine-readable scientific data.</li></ul><h2 class="jobSectionHeader">
Data Platform &amp; Lakehouse Architecture</h2><ul><li>
Design and implement data lakehouse architecture using modern platforms (Databricks, Snowflake, or equivalent), including data storage patterns, partitioning strategies, and query optimization.</li><li>
Build and optimize ETL/ELT pipelines using Spark, dbt, or similar tools to transform raw scientific data into analytical and ML-ready formats.</li><li>
Implement real-time and streaming data integration (Kafka, Kinesis, event-driven patterns) connecting LIMS, instruments, and lab automation systems to the data infrastructure.</li></ul><h2 class="jobSectionHeader">
Knowledge Graph &amp; Specialized Data Systems</h2><ul><li>
Design and implement knowledge graphs (Neo4j, Amazon Neptune, TigerGraph) that capture molecular, target, pathway, and experimental relationships across the discovery landscape.</li><li>
Architect specialized data solutions: array databases (TileDB) for genomics/imaging, document stores (MongoDB) for experimental records, and vector databases for embedding-based retrieval supporting ML and RAG workflows.</li><li>
Build query and traversal patterns that enable scientists and AI agents to ask relational questions across the entire data landscape.</li></ul><h2 class="jobSectionHeader">
Cross-Functional Partnership</h2><ul><li>
Partner with scientific software engineers to ensure data architectures are implementable, performant, and well-documented.</li><li>
Collaborate with Methods4Insight to design data structures that support analytical model training, deployment, and evaluation.</li><li>
Work with Tech@Lilly to define scaling strategies, ensure enterprise compliance, and transition data architectures to production-grade management.</li><li>
Contribute to build-versus-buy-versus-adopt decisions by evaluating commercial and open-source data platforms against Data Foundry requirements.</li></ul><h1 class="jobSectionHeader">
Basic Requirements</h1><ul><li>
B.S. or M.S. in Computer Science, Data Science, Bioinformatics, Computational Biology, Information Science, or related STEM field; Ph.D. valued for ontology and knowledge graph roles.</li><li>
B.S. with 7+ years and M.S. with 5+ years of data architecture, data engineering, or scientific informatics' experience.</li><li>
SQL skills and experience in multiple database paradigms (relational, graph, document, columnar, key-value).</li><li>
Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Expertise in at least one of: data modeling/ontologies, data platform engineering (Databricks, Snowflake, Spark), or graph/specialized databases (Neo4j, Neptune, MongoDB).</li><li>
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data integration patterns.</li><li>
Understanding of scientific data types and experimental workflows in life sciences or pharma (chemical, biological, HTE data).</li><li>
Strong communication skills with ability to translate data architecture concepts for both technical and scientific audiences.</li><li>
Pharmaceutical or biotech research industry experience, particularly in discovery data management or research informatics.</li><li>
Experience with semantic web technologies: RDF, OWL, SPARQL, Prot&eacute;g&eacute;, or equivalent ontology engineering tools.</li><li>
Hands-on experience with graph databases (Neo4j, Neptune, TigerGraph) and knowledge graph design patterns for scientific data.</li><li>
Data lakehouse architecture experience: Databricks (Delta Lake, Unity Catalog), Snowflake, or equivalent; ETL/ELT with Spark, dbt.</li><li>
Experience with streaming/real-time data platforms (Kafka, Kinesis, Flink) and event-driven architectures.</li><li>
Familiarity with LIMS, ELN systems (e.g., Benchling), and laboratory instrument data integration.</li><li>
Experience with vector databases (Pinecone, Weaviate, pgvector) and embedding-based retrieval for ML/RAG applications.</li><li>
Array database experience (TileDB, Zarr) for genomics, imaging, or high-dimensional scientific data.</li><li>
Experience with bioinformatics data formats (FASTA, BAM/CRAM, VCF) and biological sequence databases; familiarity with NGS data pipelines and proteomics data management.</li><li>
FAIR data principles implementation experience and Data Readiness Level frameworks.</li><li>
Scientific data standards and controlled vocabularies in chemistry (InChI, SMILES) or biology (Gene Ontology, UniProt, pathway databases such as Reactome or KEGG).</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$132,000 - $193,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Data Architect, Data Foundry

Micron Technology

<div>Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a member of the Enterprise Product leadership team this role will be involved in a fast-paced, agile environment, closely partnered with business and IT team members!
Responsibilities:<ul><li>
Work with the PLM and Enterprise Product solution leadership team, to define strategy and roadmaps.</li><li>
Define software standards across the Teamcenter PLM solutions, and develop close partnership and collaboration with business team members.</li><li>
Work alongside external IT teams and come up with solution architecture collaboration/alignment across several project teams.</li><li>
Deliver designs, mock-ups, and software solutions based on the Siemens PLM Teamcenter (Tc) application.</li><li>
Design, implement, and support PLM solutions involving multiple Bill of Materials (BOM) types (e.g., BOI, BOP, BOE), ensuring alignment with complex business and manufacturing requirements.</li><li>
Lead and support data migration, system cutover, and launch activities for large Teamcenter implementations, coordinating closely with multi-functional IT and business teams.</li></ul>
Minimum Qualifications:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field, with 5+ years of demonstrated experience in an IT Solution Architect role focused on PLM solutions.</li><li>
Hands-on experience delivering at least three medium to large Siemens Teamcenter implementations, with responsibility across design, configuration, and deployment phases.</li><li>
Strong expertise in Bill of Materials (BOM) concepts, structures, and standard BOM methodologies, with the ability to apply this knowledge across sophisticated enterprise PLM use cases.</li><li>
Experience with Teamcenter Change Management, including change objects, workflows, approvals, and governance, with the ability to assess and manage impacts to downstream systems (e.g., ERP, MES, integrations, and reporting).</li><li>
Proven experience partnering closely with business customers to understand requirements, architect scalable solutions, and clearly present solution designs and trade-offs to both technical and non-technical audiences.</li></ul>
Preferred Qualifications:<ul><li>
Solid understanding of Teamcenter configuration using BMIDE and experience implementing and supporting Active Workspace based solutions.</li><li>
Hands-on experience with Teamcenter customization and extension, including ITK (C/C++), SOA services, and Active Workspace (AWC) customization.</li><li>
Experience integrating Teamcenter with ERP systems, such as SAP, using T4S and/or T4EA frameworks.</li><li>
Experience integrating Teamcenter with CAD authoring tools, such as SolidWorks, Cadence, or Mentor, to support end‑to‑end product data flow.</li><li>
Understanding of Semiconductor Product Lifecycle Management (SLCM), including how PLM capabilities support semiconductor manufacturing and engineering processes.</li></ul>
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. 
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron&rsquo;s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.</div>
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