Senior Data Product Owner

CodesyncHR Services Inc.; United States; À distance; USD 150 000 - 190 000; Plein temps

Résumé du poste

CodesyncHR Services Inc. is seeking a Senior Data Product Owner to lead data platform initiatives in a healthcare context. You’ll own data engineering work with Databricks, Snowflake, Spark, Python, and SQL, shaping scalable pipelines and governance.

You will define product requirements, drive architecture choices, and collaborate with business and technical stakeholders to deliver impactful data solutions. AI/GenAI exposure is a plus.

Qualifications

• 7+ years of senior-level data engineering experience.
• Hands-on Databricks and Snowflake expertise.
• Strong SQL and Python skills.
• Experience with healthcare data domains.
• Understanding of ETL/ELT and data lakehouse concepts.

Responsabilités

• Design, build and support scalable data pipelines and platforms in healthcare environments.
• Translate complex business and technical requirements into scalable data solutions.
• Collaborate with stakeholders to align data products with business goals.
• Guide data quality, lineage, and governance initiatives.

Connaissances

Databricks

Snowflake

Apache Spark

PySpark

Kafka

Python

Advanced SQL

ETL/ELT

Data pipelines

Data modeling

Data warehousing

Lakehouse architecture

Delta Lake

Unity Catalog

Databricks Workflows/Jobs

Azure DevOps

Azure ADLS

Healthcare data

Communication

Stakeholder management

Ownership

Description du poste

About the role

We're looking for a Senior Data Product Owner with strong hands‑on experience in Databricks, Snowflake, Apache Spark, Kafka, Python and advanced SQL, and experience with healthcare data.

You’ll design, build and support scalable data pipelines and platforms in complex healthcare environments, taking ownership of solutions from design through production. Experience with claims, eligibility, membership, provider, clinical or pharmacy data is highly desirable. You’ll translate complex business and technical requirements into working solutions and communicate clearly with technical and business stakeholders.

Exposure to AI and GenAI is a strong plus, as the platform is expanding into automation, metadata management, data quality and intelligent data engineering.

What you'll bring

• 7+ years of senior‑level data engineering experience.
• Strong hands‑on experience with Databricks and Snowflake.
• Advanced SQL and strong Python.
• Apache Spark / PySpark and Apache Kafka.
• A strong understanding of ETL/ELT, data pipelines, data modeling, data warehousing and lakehouse architecture.
• Delta Lake, Unity Catalog and Databricks Workflows/Jobs.
• Data quality, profiling, validation, reconciliation and lineage.
• Azure data services, ADLS and Azure DevOps.
• Healthcare data experience, particularly claims, eligibility, membership or provider data.
• Strong communication, problem‑solving, analytical and stakeholder management skills.
• Ownership, accountability, attention to detail, and the ability to work independently.