This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As the Sr. Principal Data Engineer, you will be the primary architect of Digital Remedy’s next-generation data platform. You won't just move data; you will design the blueprints for how we handle massive-scale AdTech telemetry. You will bridge the gap between business priorities and technical execution, ensuring our "Partner" integrations are scalable, cost-efficient, and resilient. - Architectural Leadership: Design and oversee the migration/optimization of our data lakehouse architecture using Databricks. - Production Excellence: Serve as the escalation point for the platform, leveraging a proven record of handling production issues to ensure 24/7 reliability of mission-critical pipelines. - Strategic Capacity Planning: Work directly with the SVP of Tech to translate product roadmaps into technical requirements, multitasking across various high-priority workstreams without losing sight of architectural integrity. - Infrastructure as Code: Drive the adoption of Databricks Asset Bundles (DABs) to standardize deployments across dev, staging, and production. - Mentorship & Governance: Provide high-level guidance to engineering squads in India and the US, defining schemas and governance models for BigQuery and Databricks. Qualifications - Minimum 4+ years of hands-on experience specifically within the Databricks ecosystem (Delta Lake, Unity Catalog, Photon). - Deep proficiency in Spark (PySpark/Scala), Python, and SQL. Experience with GCP (BigQuery) is a major plus. - Proven experience managing petabyte-scale datasets and high-concurrency pipelines (AdTech experience preferred). - Must be a self-starter capable of taking a high-level concept from the SVP and driving it to completion with minimal supervision. - 10+ years in Data Engineering, with at least 3 years in a Principal or Architect capacity. Requirements - A history of successfully diagnosing and resolving complex, large-scale production bottlenecks and data outages. - A demonstrated ability to multi-task, balancing long-term architectural R&D with immediate business requests and partner integrations. - Strong understanding of optimizing Databricks/BigQuery costs and the ability to communicate technical trade-offs to non-technical stakeholders. Benefits - Base salary compensation range for this role is $131,250 to $175,000. - Final compensation will be determined by various factors such as a candidate’s relevant work experience, skills, certifications, and geographic location. - Full time positions are eligible for benefits that include participation in a retirement plan, quarterly and annual incentive plan bonuses, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As the Sr. Principal Data Engineer, you will be the primary architect of Digital Remedy’s next-generation data platform. You won't just move data; you will design the blueprints for how we handle massive-scale AdTech telemetry. You will bridge the gap between business priorities and technical execution, ensuring our "Partner" integrations are scalable, cost-efficient, and resilient. - Architectural Leadership: Design and oversee the migration/optimization of our data lakehouse architecture using Databricks. - Production Excellence: Serve as the escalation point for the platform, leveraging a proven record of handling production issues to ensure 24/7 reliability of mission-critical pipelines. - Strategic Capacity Planning: Work directly with the SVP of Tech to translate product roadmaps into technical requirements, multitasking across various high-priority workstreams without losing sight of architectural integrity. - Infrastructure as Code: Drive the adoption of Databricks Asset Bundles (DABs) to standardize deployments across dev, staging, and production. - Mentorship & Governance: Provide high-level guidance to engineering squads in India and the US, defining schemas and governance models for BigQuery and Databricks. Qualifications - Minimum 4+ years of hands-on experience specifically within the Databricks ecosystem (Delta Lake, Unity Catalog, Photon). - Deep proficiency in Spark (PySpark/Scala), Python, and SQL. Experience with GCP (BigQuery) is a major plus. - Proven experience managing petabyte-scale datasets and high-concurrency pipelines (AdTech experience preferred). - Must be a self-starter capable of taking a high-level concept from the SVP and driving it to completion with minimal supervision. - 10+ years in Data Engineering, with at least 3 years in a Principal or Architect capacity. Requirements - A history of successfully diagnosing and resolving complex, large-scale production bottlenecks and data outages. - A demonstrated ability to multi-task, balancing long-term architectural R&D with immediate business requests and partner integrations. - Strong understanding of optimizing Databricks/BigQuery costs and the ability to communicate technical trade-offs to non-technical stakeholders. Benefits - Base salary compensation range for this role is $131,250 to $175,000. - Final compensation will be determined by various factors such as a candidate’s relevant work experience, skills, certifications, and geographic location. - Full-time positions are eligible for benefits that include participation in a retirement plan, quarterly and annual incentive plan bonuses, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As the Sr. Principal Data Engineer, you will be the primary architect of Digital Remedy’s next-generation data platform. You won't just move data; you will design the blueprints for how we handle massive-scale AdTech telemetry. You will bridge the gap between business priorities and technical execution, ensuring our "Partner" integrations are scalable, cost-efficient, and resilient. - Architectural Leadership: Design and oversee the migration/optimization of our data lakehouse architecture using Databricks. - Production Excellence: Serve as the escalation point for the platform, leveraging a proven record of handling production issues to ensure 24/7 reliability of mission-critical pipelines. - Strategic Capacity Planning: Work directly with the SVP of Tech to translate product roadmaps into technical requirements, multitasking across various high-priority workstreams without losing sight of architectural integrity. - Infrastructure as Code: Drive the adoption of Databricks Asset Bundles (DABs) to standardize deployments across dev, staging, and production. - Mentorship & Governance: Provide high-level guidance to engineering squads in India and the US, defining schemas and governance models for BigQuery and Databricks. Qualifications - Minimum 4+ years of hands-on experience specifically within the Databricks ecosystem (Delta Lake, Unity Catalog, Photon). - Deep proficiency in Spark (PySpark/Scala), Python, and SQL. Experience with GCP (BigQuery) is a major plus. - Proven experience managing petabyte-scale datasets and high-concurrency pipelines (AdTech experience preferred). - Must be a self-starter capable of taking a high-level concept from the SVP and driving it to completion with minimal supervision. - 10+ years in Data Engineering, with at least 3 years in a Principal or Architect capacity. Requirements - A history of successfully diagnosing and resolving complex, large-scale production bottlenecks and data outages. - A demonstrated ability to multi-task, balancing long-term architectural R&D with immediate business requests and partner integrations. - Strong understanding of optimizing Databricks/BigQuery costs and the ability to communicate technical trade-offs to non-technical stakeholders. Benefits - Base salary compensation range for this role is $131,250 to $175,000. - Final compensation will be determined by various factors such as a candidate’s relevant work experience, skills, certifications, and geographic location. - Full-time positions are eligible for benefits that include participation in a retirement plan, quarterly and annual incentive plan bonuses, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan.

HMA is the premier third-party health plan administrator across the PNW and beyond. We relentlessly deliver on our promise to provide medium to large-size employers with customized health plans. We offer various high-quality, affordable healthcare plan options supported with best-in-class customer service.  We are proud to say that for three years, HMA has been chosen as a ‘Washington’s Best Workplaces’ by our Staff and PSBJ™. Our vision, ‘Proving What’s Possible in Healthcare™,’ and our values, People First!, Be Extraordinary, Work Courageously, Own It, and Win Together, shape our culture, influence our decisions, and drive our results. What we are looking for: We are always searching for unique people to add to our team. We only hire people that care deeply about others, thrive in evolving environments, gain satisfaction from being part of a team, are motivated by tackling complex challenges, are courageous enough to share ideas, action-oriented, resilient, and results-driven.  What you can expect: You can expect an inclusive, flexible, and fun culture, comprehensive salary, pay transparency, benefits, and time off package with plenty of personal development and growth opportunities. If you are looking for meaningful work, a clear purpose, high standards, work/life balance, and the ability to contribute to something important, find out more about us at: https://www.accesshma.com/ How YOU will make a Difference: As the Enterprise Data Architect, you will be a central figure in our modernization program. You will be the visionary and technical leader responsible for designing the blueprint for our future-state data ecosystem. Moving from legacy systems to a cloud-native environment, you will architect and build a scalable, secure, and compliant data platform that will serve as the foundation for all analytics, reporting, and data-driven decision-making across the enterprise. This role requires a unique blend of deep technical expertise, strategic thinking, and a thorough understanding of the complexities of healthcare data. What YOU will do: - Strategy & Road mapping: - Develop and own the enterprise data architecture roadmap, aligning it with the company's strategic modernization goals. - Lead the evaluation, selection, and implementation of modern data technologies, including cloud data warehouses, data lakes, data integration tools, and governance platforms. - Design a target-state architecture that supports everything from operational reporting to advanced analytics and machine learning workloads. - Design & Implementation: - Create detailed architectural blueprints for data ingestion, transformation, storage, and consumption patterns across the organization. - Lead the design and oversee the development of robust, scalable, and real-time ETL/ELT data pipelines to migrate and integrate data from legacy on-premise systems to our new cloud platform (Azure). - Establish standards and best practices for data modeling (e.g., dimensional modeling, 3NF), data quality, and metadata management. - Governance & Security: - Architect solutions that ensure strict adherence to healthcare regulations, including HIPAA and HITECH, for all data at rest and in transit. - Design and implement a comprehensive Master Data Management (MDM) strategy for core entities such as Members, Providers, Claims, and Products. - Partner with security and compliance teams to define data classification, access control, and data masking/anonymization policies within the new architecture. - Collaboration & Leadership: - Serve as the lead technical subject matter expert on data architecture, providing guidance and mentorship to data engineers, BI developers, and data scientists. - Collaborate closely with business stakeholders, application developers, and infrastructure teams to ensure architectural alignment and successful solution delivery. - Effectively communicate complex technical concepts and architectural designs to both technical and non-technical audiences, from engineers to executive leadership.