Source Job

• Own our data ingestion layer end-to-end, including completing our migration to open-source ingestion tooling and maintaining reliability as the stack evolves.
• Build monitoring, failure alerting, and anomaly detection into the stack so issues surface proactively.
• Partner with our Technology and Engineering Lead on platform infrastructure, system integrations, and technical initiatives where data is a core component.

Lola Blankets is a fast-growing direct-to-consumer brand behind some of the internet’s most-loved blankets. They have an open-source-first data stack and keep it reliable, fast, and actionable.

• You will design and evolve highly scalable, distributed, cloud‑native architectures that power core Rapid Cloud capabilities.
• You will contribute to the architectural direction for Rapid Cloud, shaping how large‑scale data processing, query execution, and platform services are built and evolved.
• You will act as a technical authority across Product R&D, influencing architectural decisions that span cloud infrastructure, core platform services, and data systems.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. They have grown to become a global organization with over 2000 employees around the world and are winners of several Top Employer awards globally.

• Lead the implementation of a resilient, privacy-first data platform architecture.
• Lead the design, infrastructure, and tooling decisions for platform optimization.
• Develop AI-ready architecture by creating semantic layers that define and standardize business logic.

Headspace provides access to lifelong mental health support. They combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective and personalized. They value connecting with courage, ownership, and iterating to great.

• Serve as the embedded technical lead for Databricks customer engagements.
• Own Databricks platform architecture, design decisions, and technical standards.
• Lead delivery of complex data pipelines and analytics workloads on Databricks.

540 is a forward-thinking company that the government turns to in order to #getshitdone. They break down barriers, build impactful technology, and solve mission-critical problems.

• Independently lead and deliver billable client engagements.
• Design and implement scalable, secure, and performant data solutions in Microsoft Fabric.
• Facilitate workshops and guide clients through ambiguous problem spaces.

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. As a Microsoft Partner with seven specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.

• Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics.
• Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt.
• Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL.

Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Their global team of 230+ members is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve their mission of opening financial services to everyone on the planet.

• Design end-to-end Retrieval-Augmented Generation (RAG) architecture.
• Define chunking strategies based on content type, semantic coherence, and use case requirements.
• Build metadata schemas, tagging frameworks, and document structures to optimize retrieval precision.

Great Day Improvements is a direct-to-consumer provider of premium home improvement products. They have over 4,800 employees across 130 metropolitan markets throughout the U.S. and they continue to rank among the top home improvement companies nationwide.

• Act as a junior Product Owner by conducting discovery interviews with cross-functional stakeholders to identify critical analytics "pain points" and high-value data gaps.
• Translate qualitative user feedback into technical requirements for the AI Analyst, ensuring the conversational interface addresses real-world business logic.
• Design and curate a Prompt Library to optimize the AI’s Natural Language Processing (NLP) capabilities and improve the precision of generated insights.

Actian believes data should be a competitive advantage and helps business-critical systems transact and integrate at their very best through the deployment of data technology. With a global team of experts and a culture of innovation, the company is dedicated to helping customers solve their most complex data challenges.

• Design and implement scalable data architectures to support business needs.
• Build and optimize data pipelines, ensuring data accessibility and security.
• Develop and maintain data models, databases, and data lakes, with robust data governance.

Terawatt Infrastructure delivers large scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. With a growing portfolio of sites across the US, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through capital, real estate, development, and site operations solutions.

• Analyze current SSIS packages, SQL Server Agent jobs, and cross-database synchronization processes.
• Design the target-state architecture using Databricks and Delta Lake.
• Guide or support the implementation of Databricks pipelines, jobs, and notebooks that replace existing SSIS workloads.

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. They expertly deliver cutting-edge, integrated solutions that deliver business value as a Microsoft Partner with seven specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA).

• Own the vision and technical roadmap for Omada’s enterprise data architecture.
• Lead the design of logical and physical data models to support enterprise metrics, dashboards, and ad hoc analytics.
• Lead large, multi‑team technical initiatives—from design to implementation and rollout.

Omada Health is a between-visit healthcare provider that addresses lifestyle and behavior change elements for individuals managing chronic conditions. They have more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points; aim to inspire and empower people to make lasting health changes on their own terms.

• Build the “paved road” for enterprise AI.
• Define and operationalize agent interaction and authority boundaries.
• Embed governance into platforms and delivery workflows (not paperwork).

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains. They have over 2000 employees around the world, 6 global offices and a best-in-class HQ in Ottawa, Canada.

• Own the Architectural Direction of Conduct
• Drive Structural Evolution
• Ensure Platform Coherence Across Teams

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. They are a growing community of over 6500 organizations in regulated industries, with a global presence that values diversity and innovation.

• Define and execute HappyCo’s overall data strategy aligned with company and product goals
• Design and implement a canonical entity model that connects data across operational systems
• Oversee the architecture and evolution of HappyCo’s data platform, including the data warehouse, pipelines, and transformation layers

HappyCo builds modern property management software that helps owners and operators deliver better living experiences at scale. They are a values-driven company that offers a flexible, supportive culture. Their team is made up of thinkers, talkers, planners, makers, builders and everything in between.

• Partner with stakeholders to understand business objectives and translate them into analytical problems.
• Design, build, and maintain Power BI dashboards and reports for performance management and strategic planning.
• Contribute to data pipeline design within Microsoft Fabric, ensuring data quality and reliability.

Granicus builds, implements, and maintains technology transforming the Govtech industry. They serve 5,500 federal, state, and local government agencies, empowering stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada.

• Provide enterprise data management leadership for MODES III.
• Establish and enforce data governance policies.
• Lead data quality & lineage programs.

Peraton is a next-generation national security company that drives missions of consequence spanning the globe. As the world’s leading mission capability integrator and transformative enterprise IT provider, they deliver trusted solutions to protect our nation and allies.

• Lead the design and architecture of enterprise data platforms using Snowflake and Azure.
• Define and implement architectural patterns for on‑premises to cloud migrations.
• Contribute to data strategy and roadmap development, aligning technical architecture with business goals and analytics needs.

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. They have been partnering with some of the largest healthcare, life sciences, financial services, and government entities across the globe since 2005.

• Build and lead a team of 4-5 data engineers focused on reusable product artifacts
• Own the product data engineering backlog in partnership with product management
• Define and enforce technical standards for notebooks, pipelines, QC modules, and documentation

Qualified Health is redefining what’s possible with Generative AI in healthcare. They provide the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring, working alongside leading health systems to drive real change. They are a fast-growing company backed by premier investors.

• Own the strategy and execution for centralizing and formalizing the company's data infrastructure.
• Transform a fragmented data landscape into a single source of truth that powers mission-critical reporting, business insights.
• Define the standards, build the platform, and create the foundation that enables Anchorage to scale with confidence.

Anchorage Digital is building the world’s most advanced digital asset platform for institutions to participate in crypto. They enable institutions to participate in digital assets through custody, staking, trading, governance, settlement, and the industry's leading security infrastructure. The company has a diverse team of more than 600 members.

• Design, develop, and optimize ETL pipelines using Epic Caboodle Console, SQL Server SSIS, Microsoft Fabric, Azure Databricks , Azure Data Lake Storage , and Azure Data Factory.
• Build and maintain star-schema data structures including facts, dimensions, SCDs, aggregates, and bridge tables.
• Develop user-facing BI assets, including Power BI data models, dashboards, and semantic layers.

OHSU's Business Intelligence & Advanced Analytics (BIAA) team supports population health, value-based care, financial analytics, and data-driven clinical operations across the OHSU Health System. They are Portland's largest employer, offering opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington.