Data Platform Owner

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The Data Platform Owner is responsible for the strategic direction, governance, and operational excellence of a cloud-based data platform built on a medallion architecture and powered by Databricks. This role ensures the platform delivers scalable, reliable, and high-quality data products that support analytics, data science, and business decision-making. The Data Platform Owner partners closely with engineering, analytics, and business teams to drive platform adoption, optimize performance, and continuously evolve data capabilities in alignment with organizational goals. 

• Design, manage, and optimize enterprise data platforms and pipelines within AWS and Databricks environments, including ingestion, transformation, storage, and consumption layers.
• Deep hands-on expertise with Databricks administration, workspace management, Delta Lake, Unity Catalog, declarative pipelines, cluster optimization, and cost management.
• Strong experience designing scalable, secure, and high-performing cloud data architectures using technologies such as PySpark, Spark, Python, SQL, Hadoop, and related data engineering frameworks.
• Experience building and supporting end-to-end data pipelines within hybrid cloud architectures, ensuring data quality, consistency, governance, lineage, and compliance.
• Solid understanding of data warehouse and data modeling methodologies, including Kimball and Inmon approaches.
• Experience implementing data governance, metadata management, lineage, cataloging, retention, and security practices using modern governance tools and frameworks.
• Strong knowledge of AWS services including S3, IAM, EC2, Lambda, Glue, and VPC, along with DevOps practices such as CI/CD and Infrastructure as Code.
• Ability to monitor, troubleshoot, automate, and continuously improve cloud-based data platforms for scalability, reliability, performance, and operational efficiency.
• Experience collaborating with data engineers, analysts, data scientists, business stakeholders, and infrastructure teams to define and deliver data solutions aligned with business objectives.
• Strong communication and documentation skills, including the ability to present complex technical concepts to both technical and non-technical audiences.
• Strong interpersonal and leadership skills, with the ability to foster collaboration, resolve conflicts, and maintain a positive team culture.

• 5+ years of experience in data platform management, data architecture, data engineering, or data curation.
• 5+ years of hands-on development experience with Oracle and/or Microsoft SQL Server, including PL/SQL and T-SQL.
• 5+ years of experience developing data solutions using Python and PySpark.
• Strong experience implementing and optimizing ETL/ELT solutions within Databricks and cloud platforms such as AWS and Azure.
• Experience with SSIS, C#, APIs, and microservices development.
• Strong understanding of data transformation, processing, normalization, denormalization, and large-scale event-driven streaming architectures.
• Familiarity with stream-processing technologies, AI/ML concepts, and modern distributed data platforms is preferred.
• AWS Certified Solutions Architect (Associate or Professional) preferred.
• Databricks Certified Data Engineer (Associate or Professional) or Databricks Administrator certification preferred.
• Experience with CI/CD and DevOps tools such as GitHub, Azure DevOps, or Bitbucket.
• Prior leadership or mentoring experience within engineering or platform teams is preferred.
• Strong verbal and written communication skills, with the ability to collaborate effectively across technical and business teams.

Education:
Bachelor's degree in Computer Science, CIS, Engineering, or related field or equivalent experience

• Hybrid work (flexibility to work 2 days/week from home)

Please submit resume/CV in English.

All resumes are held in confidence. Only candidates whose profiles closely match requirements will be contacted during this search.

HireRight does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of HireRight and HireRight will not be obligated to pay a placement fee.