

Data Warehouse Product Owner
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Warehouse Product Owner on a 12+ month contract, offering up to $65.00/hr. Remote work is available. Key skills include Python, AWS, SQL, and data pipeline orchestration. Experience in data platforms and Agile practices is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
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ποΈ - Date discovered
July 14, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Remote
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π§ - Skills detailed
#Data Engineering #BigQuery #Scrum #AWS (Amazon Web Services) #Security #Data Quality #Storage #Jenkins #Compliance #Lambda (AWS Lambda) #"ETL (Extract #Transform #Load)" #Data Modeling #Data Governance #Data Pipeline #GIT #Snowflake #EDW (Enterprise Data Warehouse) #Data Warehouse #PySpark #Strategy #Scripting #Redshift #Spark (Apache Spark) #SQL (Structured Query Language) #Jira #Agile #Monitoring #Palantir Foundry #Scala #Data Ingestion #S3 (Amazon Simple Storage Service) #Leadership #Python #Cloud #Stories
Role description
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Position: Data Warehouse Product OwnerJob Type: 12+ Months ContractLocation: RemoteRate: Competitive / hr. W2 or C2C
Role Synopsis:
We are seeking a highly skilled Data Warehouse Product Owner with a strong blend of product leadership and technical expertise in data engineering. This role will lead the strategy, design, and delivery of enterprise data warehouse capabilities, serving as a bridge between business stakeholders and engineering teams. The ideal candidate brings hands-on experience in Python, AWS, SQL, and data pipeline orchestration, and is adept at driving high-impact product roadmaps in a data-centric environment. You will be responsible for defining features, managing the product backlog, and ensuring timely, scalable, and secure delivery of data solutions.
Must-Have Requirements:
Proven experience as a Product Owner or Technical Product Manager in data platforms or enterprise analytics.
Strong hands-on experience with Python, SQL, PySpark, and scripting in a cloud environment.
Solid understanding of AWS cloud services (e.g., S3, Glue, Lambda, Redshift).
Working knowledge of data pipeline orchestration, ETL frameworks, and data modeling.
Proficiency in Git, Jenkins/CodePipeline, and platform monitoring tools.
Experience with Palantir Foundry, GIS, or similar data platforms is a plus.
Familiarity with Agile/Scrum practices and product lifecycle management tools (e.g., JIRA, Confluence).
Key Responsibilities:
Define and own the product vision, roadmap, and backlog for enterprise data warehouse and analytics services.
Translate business needs into technical requirements and user stories that can be executed by data engineering teams.
Prioritize and drive delivery of features related to data ingestion, transformation, storage, and reporting.
Collaborate with architects and developers to ensure solutions are scalable, maintainable, and aligned with enterprise standards.
Advocate for best practices in data quality, security, and performance.
Lead cross-functional discussions to align product goals with stakeholder expectations and technical feasibility.
Desired Qualifications (Optional):
Familiarity with Palantir Foundry, Snowflake, or BigQuery.
Experience in data governance, compliance, and lineage tracking.
Background in data-intensive domains such as healthcare, financial services, or public sector.
Job Type: Contract
Pay: Up to $65.00 per hour
Schedule:
8 hour shift
People with a criminal record are encouraged to apply
Work Location: Remote