senior data warehouse architect

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

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

DATA PULSE TECH AI LLC

Senior GCP Solution Architect &mdash; Federal Cloud ModernizationRemote (US) &middot; Contract &middot; $130&ndash;$155/hr DOEA Google Cloud Partner is building a team to modernize one of the largest federal agencies in the country. This is real architecture work &mdash; not staff augmentation. You'll lead the design of a GCP landing zone from scratch, stand up Vertex AI Search and BigQuery data warehousing, and own the MLOps pipeline architecture for a system that processes millions of documents.This is a FedRAMP High environment supporting the IRS. You'll work shoulder-to-shoulder with Google PSO engineers and agency stakeholders who know their stuff. If you've spent your career in cloud consulting and want a program where the architecture decisions actually matter, this is it.What you'll actually do: &mdash; Design the full GCP org hierarchy, landing zone, and shared VPC topology &mdash; Architect Vertex AI Search for semantic retrieval across 4M+ documents &mdash; Build BigQuery data warehouse schemas and MLOps pipelines &mdash; Lead architecture reviews with Google and agency technical teams &mdash; Produce the Technical Design Document (TDD) that governs the build &mdash; Mentor junior cloud engineers on GCP best practicesWhat you need (non-negotiable): &mdash; GCP Professional Cloud Architect certification (active, verifiable) &mdash; 7+ years designing GCP architectures in production (not just sandbox/POC) &mdash; Deep experience with landing zones, org policy, shared VPC, IAM &mdash; Hands-on with Vertex AI, BigQuery, and Cloud Foundation Toolkit &mdash; US Citizen &mdash; this is a hard requirement, no exceptions &mdash; IRS MBI clearance (active) or ability to obtain oneWhat puts you ahead: &mdash; Additional GCP certs (Data Engineer, ML Engineer) &mdash; Direct IRS, Treasury, or TIGTA experience &mdash; Prior Google PSO or Google partner delivery work &mdash; NIST 800-53 Rev 5 / IRS Pub 1075 familiarity &mdash; Terraform modules for federal landing zonesAbout the engagement: This is a 12-month contract with a Google Cloud Partner supporting a major federal modernization program. The team is small, senior, and fully remote (US only). You'll have real ownership over the architecture &mdash; not just a seat at the table, but the pen in your hand.Pay: $130.00 - $155.00 per hourApplication Question(s):<ul><li>Do you hold an active GCP Professional Cloud Architect certification? </li><li>Do you currently hold or have you previously held an IRS MBI, Public Trust, or higher federal clearance?</li></ul>Security clearance:<ul><li>Confidential (Preferred)</li></ul>Work Location: Hybrid remote in Washington, DC 20001

Senior GCP Solution Architect

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