senior data architect

Adobe

Location: San Jose, CA
 Job Type: Full-Time
 Reporting to: Senior Manager, Data & Analytics Platform Engineering About the Role
 The Adobe Experience Platform (AEP) Product Success Engineering team is hiring a Senior Data Engineer & Architect to help build and scale the infrastructure that powers product adoption insights, customer retention analytics, system performance monitoring, and operational intelligence across Adobe.
 In this role, you will design and build reliable, scalable, cloud-native data systems while contributing to platform-wide architectural direction and standards. You’ll collaborate closely with Data Scientists, Analytics Engineers, Solution Architects, and Product partners to translate evolving business needs into durable data solutions that support analytics and machine learning use cases.
 This opportunity is ideal for someone who enjoys hands-on engineering while influencing broader data architecture strategy. What You’ll Do Design & Evolve the Data Platform
 Partner with engineering leadership to develop and evolve enterprise-scale data architecture across warehouses, lakes, and modern data platforms.
 Develop logical and physical data models crafted to enable analytics and ML use cases, including dimensional models and optimized schemas.
 Contribute to platform standards, reference architectures, and documentation across ingestion, transformation, governance, and analytics enablement.
 Collaborate with Enterprise Architecture and Cloud Infrastructure teams to align with security, compliance, performance, and cost optimization guidelines. Build Scalable Data Pipelines
 Design, develop, and maintain reliable ETL/ELT pipelines integrating data from usage, clickstream, entitlement, cost, and support systems.
 Build modular, reusable pipeline frameworks using orchestration tools such as Airflow, Dagster, or Prefect.
 Optimize data processing workflows for performance, scalability, and cost efficiency using distributed systems (e.g., Spark, Beam).
 Work with Data Scientists and Analytics Engineers to operationalize data products and ML-ready datasets. Strengthen Governance, Quality & Reliability
 Design and implement scalable frameworks for managing and improving data integrity, including cataloging, lineage tracking, access controls, and automated validation processes to ensure trusted, production-grade data.
 Establish and continuously improve reliability standards for data services, defining and tracking key SLOs such as freshness, pipeline success rates, and availability through proactive monitoring and alerting.
 Maintain clear metadata, documentation, and data definitions to improve discoverability, enable self-service analytics, and support consistent operational excellence across the platform. What You’ll Bring Experience
 Bachelor’s degree in Computer Science, Engineering, or a related field — or equivalent practical experience.
 8+ years of experience in data engineering or software engineering, including building and operating production data platforms.
 Experience contributing to data architecture decisions at the system or platform level. Technical Expertise
 Strong experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift), including schema design and performance tuning.
 Experience building production-grade pipelines using orchestration frameworks (Airflow, Dagster, Prefect) and distributed processing tools (Spark, Beam).
 Deep understanding of ETL/ELT patterns, dimensional modeling, and analytics dataset design.
 Experience implementing data governance and quality practices, including lineage, validation, and role-based access controls.
 Proficiency in Scale or Java, plus experience Python & SQL
 Experience working with at least one major cloud platform (AWS, Azure, or GCP).
 Experience defining data modeling standards, naming conventions, and data contracts.
 Familiarity with event-driven and streaming systems (e.g., Kafka, Kinesis). Communication & Collaboration
 Ability to translate business questions into scalable data models and platform capabilities.
 Ability to clearly explain data and architectural concepts to diverse audiences. Nice to Have
 Experience in B2B SaaS, product analytics, or customer success environments.
 Hands-on experience with modern data stack tools (dbt, Great Expectations, Atlan, Collibra).
 Exposure to MLOps concepts such as feature pipelines and training datasets. Why Join This Team
 Develop the architecture of a critical data platform used across Adobe.
 Combine hands-on engineering with meaningful architectural influence.
 Work with modern cloud and data technologies at enterprise scale.
 Collaborate with experienced Data Science, Analytics, and Platform Engineering teams.
 If you’re passionate about building reliable, scalable data systems and influencing platform strategy, we’d love to hear from you.
 About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $173,500 -- $331,050 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $228,600 - $331,050
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Senior Data Engineer & Architect

geidea

<div>
 
 Established in 2008,
 
 Geidea
 
 epitomizes customer focused empowerment and commercial success through continuous innovation.
 
 
 
 Geidea
 
 makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 www.geidea.net
 
 
 
 
 
 To maintain a competitive advantage as we grow, we are currently looking for a new " Date Architect Senior Manager".
 
 
 
 
 
 
 Job purpose:
 
 
 
 A highly skilled Data Architect to design and lead the development of scalable, secure, and high-performance data platforms across the enterprise. This role is central to shaping the data ecosystem supporting our Fintech services&mdash;including real-time financial transactions, credit scoring models, regulatory reporting, and customer analytics.
 
 
 
 
 
 Data Architect will work across engineering, analytics, and product teams to build modern data infrastructure incorporating Big Data platforms, data lakes, ELT/ETL pipelines, and data warehouses. Your solutions must ensure high availability, governance, security, and performance&mdash;compliant with SAMA and other regulatory frameworks.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Data Architecture Design:
 
 </li>
 <li>
 Lead the end-to-end architecture of enterprise data platforms including Data Lakes, Lakehouse, and Data Warehouses.
 </li>
 <li>
 Design and maintain canonical data models (conceptual, logical, and physical) for structured, semi-structured (JSON, XML), and unstructured data.
 </li>
 <li>
 Develop architectural blueprints for hybrid and cloud-native solutions leveraging AWS, Azure, or GCP.
 </li>
 <li>
 Standardize data ingestion, transformation, and serving layers for streaming and batch use cases.
 </li>
 <li>
 
 Big Data &amp; Distributed Systems Engineering:
 
 </li>
 <li>
 Architect Big Data processing solutions using Apache Spark, Flink, Presto, Trino, or Databricks for large-scale processing of financial and behavioral data.
 </li>
 <li>
 Implement distributed file systems (e.g., HDFS, S3, ADLS) and optimize file formats like Parquet, ORC, and Avro.
 </li>
 <li>
 Ensure scalable compute using EMR, Dataproc, or AKS/Kubernetes-based platforms.
 </li>
 <li>
 
 Data Lakes and Lakehouse Architecture:
 
 </li>
 <li>
 Design and operationalize data lakes as central repositories for raw and curated data assets.
 </li>
 <li>
 Build Delta Lake, Apache Hudi, or Iceberg-based architectures to support ACID transactions, schema evolution, and time travel.
 </li>
 <li>
 Define governance standards across raw, staged, curated, and analytics layers of the lake architecture.
 </li>
 <li>
 
 ELT/ETL Frameworks &amp; Pipelines:
 
 </li>
 <li>
 Develop robust ELT/ETL pipelines using tools like Apache Airflow, DBT, AWS Glue, Azure Data Factory, or Kafka Connect.
 </li>
 <li>
 Optimize data transformations for performance, reusability, and modular design (e.g., using SQL/Scala/Python).
 </li>
 <li>
 Ensure orchestration of dependencies, retries, alerting, and logging in a fully observable pipeline ecosystem.
 </li>
 <li>
 
 Data Warehousing &amp; BI Integration:
 
 </li>
 <li>
 Architect cloud-based data warehouses such as Snowflake, BigQuery, Redshift, or Synapse Analytics.
 </li>
 <li>
 Define dimensional models (Star, Snowflake), facts/dimensions, and materialized views optimized for analytics and dashboarding tools (e.g., Power BI, Tableau, Looker).
 </li>
 <li>
 Enable self-service analytics by integrating semantic layers, metadata management, and data cataloging tools.
 </li>
 <li>
 
 Security, Governance &amp; Compliance:
 
 </li>
 <li>
 Implement data encryption (at-rest/in-transit), tokenization, and row/column-level security mechanisms.
 </li>
 <li>
 Define and enforce data governance policies, including data lineage, classification, and auditing aligned with SAMA, NCA, GDPR, and internal policies.
 </li>
 <li>
 Integrate with data catalogs (e.g., Alation, DataHub, Apache Atlas) and governance tools.
 </li>
 <li>
 
 DevOps &amp; Observability:
 
 </li>
 <li>
 Support CI/CD for data pipelines and infrastructure as code using Terraform, CloudFormation, or Pulumi.
 </li>
 </ul>
 
 Implement observability practices via data quality checks, SLAs/SLIs, and monitoring tools like Prometheus, Grafana, or Datadog.
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, or a related technical field.
 </li>
 <li>
 
 8+ years of experience
 
 in data architecture, with significant contributions to production-grade data systems.
 </li>
 <li>
 Proven track record in designing and deploying
 
 petabyte-scale data infrastructure
 
 in
 
 Fintech
 
 ,
 
 Banking
 
 , or
 
 RegTech
 
 environments.
 </li>
 </ul>
 
 
 
 
 
 Our values guide how we think and act - They describe what we care about the most
 
 
 
 
 C
 
 ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 
 
 
 O
 
 pen - Openness allows us to constantly improve and evolve
 
 
 
 R
 
 eal - No jargon and no excuses!
 
 
 
 B
 
 old - Constantly challenging ourselves and our way of thinking.
 
 
 
 R
 
 esilient &ndash; If we fail, we bounce back stronger than before.
 
 
 
 C
 
 ollaborative - We know that we can achieve a lot more as a team.
 
 
 We are changing lives by constantly striving for a better solution.
 
 
 
</div>

Data Architect Senior Manager

Ripple

<div><div>At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.

If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.</div>
At Ripple, we're building a world where value moves like information does today. It's big and bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments, and developers, we improve the global financial system. We craft greater economic fairness and opportunity for more people in more places globally. We perform the best work of our careers and develop our skills with colleagues who have our backs.

If you're ready to see your impact and embrace meaningful new challenges, join us, and build real world value.

The Work:

We're seeking a Senior Staff Engineer to act as the technical architect and strategic leader for Ripple's data platform. This role is one of the highest-impact individual contributor positions on the Data team. You will build a coherent, unified view of Ripple's data across all business units. You will establish the definitive source of truth for company metrics and lead our &quot;AI for Data&quot; transformation. You will collaborate across data teams and work directly with senior leadership in Data, Product, Engineering, and Go-to-Market to develop how Ripple understands itself through data. You won't just build systems; you will define the technical vision that connects them. This sits at the intersection of architecture, integration, governance, and applied AI.

What you'll do:
<ul>
<li>Build &quot;One View&quot; of Ripple by serving as the main architect for a Unified Data Fabric. Construct a well-rounded view of Ripple's data platforms, pipelines, and tools. Craft the systems and interoperability standards that bring data together across all business units for leadership, product, and GTM teams.</li>
<li>Compose and build the Ripple Metrics Store, a definitive, governed layer that serves as the single source of truth for business metrics across all business units.</li>
<li>Define metrics governance, ownership models, and validation frameworks. Build and maintain the Metrics Glossary in partnership with the Data Science team, and collaborators crafting a shared language for how Ripple measures its business.</li>
<li>Define and lead the AI roadmap for the Data organization setting the vision for how AI transforms the way Ripple builds, governs, and consumes data.</li>
<li>Enable conversational analytics and intelligence by architecting AI Agents that allow non-technical collaborators to self-serve insights directly from the data platform.</li>
<li>Automate data engineering workflows by encouraging use of AI-powered coding assistants for SQL/ETL generation. Define the standards, validation frameworks, and guidelines for AI-generated code across the team.</li>
<li>Lead cross-team build reviews, setting the technical bar for data architecture decisions across the organization.</li>
<li>Mentor and up-level engineers across data teams, raising the standard for system building, code quality, and engineering rigor.</li>
<li>Act as the main technical consultant to senior leadership across Data, Product, and Engineering regarding long-term technical bets, platform investments, and build-vs-buy decisions.</li>
</ul>
What you'll bring:
<ul>
<li>14+ years of experience in data engineering, data architecture, or related software engineering fields, with a significant portion spent in senior technical leadership or architect roles.</li>
<li>Having a track record of bringing together data ecosystems from multiple business units, you have built the connections that convert isolated data platforms into a consistent entity.</li>
<li>Deep expertise in modern data architecture, data mesh, lakehouse patterns, with hands-on experience in technologies like Spark, Kafka, Airflow, dBT, Databricks, and cloud-native data services (AWS, GCP, or Azure).</li>
<li>Experienced in metrics governance and semantic layers, you have established or planned metrics stores, business glossaries, or comparable systems that provide an organization's source of truth.</li>
<li>Demonstrated experience with AI/ML in data engineering contexts, whether building feature stores, deploying AI-powered data quality monitoring, integrating LLMs into developer workflows, or crafting agentic systems for data operations.</li>
<li>Architectural vision paired with execution ability, you can whiteboard a multi-year platform strategy and also get into the code to prototype critical path components.</li>
<li>With outstanding communication and influence skills, you comfortably present to VP/C-level audiences. You translate technical trade-offs into business language and build consensus among teams with competing priorities.</li>
<li>A collaborative, ego-free approach to leadership, you lead through influence and technical credibility, not through title.</li>
<li>Experience with blockchain data, on-chain analytics, or large-scale financial/payments data is a plus.</li>
<li>Direct involvement with LLM-enabled developer tools and agents, AI code synthesis, RAG-style data catalogs, natural language querying interfaces, or agent orchestration solutions is beneficial.</li>
<li>BS or equivalent experience in Computer Science or similar.</li>
</ul><div>
WHO WE ARE:

Do Your Best Work
<ul>
<li>The opportunity to build in a fast-paced start-up environment with experienced industry leaders</li>
<li>A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.</li>
<li>Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.</li>
<li>In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.</li>
<li>Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team</li>
<li>We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!</li>
</ul>
Take Control of Your Finances
<ul>
<li>Competitive salary, bonuses, and equity</li>
<li>Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support</li>
<li>Employee giving match</li>
<li>Mobile phone stipend</li>
</ul>
Take Care of Yourself
<ul>
<li>R&amp;R days so you can rest and recharge</li>
<li>Generous wellness reimbursement and weekly onsite &amp; virtual programming</li>
<li>Generous vacation policy - work with your manager to take time off when you need it</li>
<li>Industry-leading parental leave policies. Family planning benefits.</li>
<li>Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events</li>
</ul>
Benefits listed above are for full-time employees.

<div>Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.</div>
<div></div>
<div>Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.</div></div></div>

Senior Staff Engineer — Data Engineering & Architecture

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

<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>
We are looking for an enthusiastic Senior GenAI and LLM Architect to add to Credera's Data capability group. Our ideal candidate is excited about leading project-based teams in a client facing role to analyze large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques. They have strong experience in data preparation and analysis using a variety of tools and programming techniques, building and implementing models, and creating and running simulations. The Senior Architect should be familiar with the deployment of enterprise scale models into a production environment; this includes leveraging full development lifecycle best practices for both cloud and on-prem solutions across a variety of use cases.

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 and serve as a technical expert in client communications. On a typical day, you might expect to participate in design sessions, provision environments, and coach and lead junior resources on projects.

WHO YOU ARE:
<ul>
<li>8+ years of proven experience in the architecture, design, and implementation of large scale and enterprise grade AI/ML solutions, including hands-on statistical modeling and/or analytical experience in and industry or consulting setting</li>
<li>Master's degree in statistics, mathematics, computer science or related field (a PhD is preferred)</li>
<li>Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.)</li>
<li>Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Hugging Face Transformers for model development and experimentation</li>
<li>Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation</li>
<li>Experience with data processing using LangChain, data embedding using LLMs, Vector databases and prompt engineering</li>
<li>Advanced knowledge of relational and non-relational databases (SQL, NoSQL)</li>
<li>Proficient in large-scale distributed systems (Hadoop, Spark, etc.)</li>
<li>Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, Power BI, D3.js, etc.)</li>
<li>Passion for leading teams and providing both formal and informal mentorship</li>
<li>Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity</li>
<li>Knowledgeable of tools and processes to monitor model performance and data quality, including model tuning experience</li>
<li>Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level</li>
<li>Stay current with AI/ML trends and research; be a thought leader in AI area</li>
<li>Experience with implementing machine learning models in production environments through one or more cloud platforms:</li>
<li><ul><li>Google Cloud Platform</li>
<li>Azure cloud services</li>
<li>AWS cloud services</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 and GenAI

Search 10000+ Senior data architect jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 senior data architect jobs Near Me

Senior Data Engineer & Architect

Data Architect Senior Manager

Senior Staff Engineer — Data Engineering & Architecture

Senior Architect, Data

Senior Architect, Data

Senior Architect, Data

Senior Architect, Data and GenAI