Director Data Management- Hybrid- Des Moines, Iowa

Wellabe - Des Moines, IA

Hiring: Director Data Management- Hybrid- Des Moines, Iowa Company: Wellabe Location: Des Moines, IA Job Posted Time: 2026-09-10 11:14:47 Employment Type: Remote Target Skills & Keywords : Azure, Azure DevOps, CI/CD, Data Lake, Databricks, Delta Lake, ELT, ETL, GitHub Actions, Kafka, PySpark, SQL Server, Snowflake, Spark, Terraform, Vault About the job Experience: •10+ years of experience in data engineering, architecture, or platform leadership, with at least 5 years in team management. Insurance or financial services experience is required. •At least 5 years in team management. Insurance or financial services experience is required. Required Skills: •Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization. •Oversee data modernization efforts, including migration from legacy Azure SQL Server to Azure Databricks Lakehouse. •Lead and mentor data engineers, fostering technical excellence and delivery accountability. •Partner with enterprise data and solution architects to ensure data models, pipelines, and platform design meet business needs. •Transform a fragmented data ecosytem to deliver a single source of truth for insurance domains. •Drive cloud-native engineering best practices (ETL/ELT optimization, CI/CD, DevOps, cost efficiency, observability). •Ensure data availability, scalability, and reliability for analytics, reporting, and digital initiatives. •Partner cross-functionally with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access. Qualifications: •Expertise with Azure Data Services (Data Lake, Data Factory, Synapse, Event Hub, Key Vault). •Demonstrated capacity to lead teams while defining enterprise platform strategy and technical roadmap. •Excellent communication and leadership skills influence technical and business stakeholders. •Operational familiarity with the DAMA/DMBOK practice and standards. •Operational familiarity with streaming/real-time ingestion (Kafka, Event Hub) is required. •Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems in Databricks or Snowflake. •Applied hands-on capability in Databricks Lakehouse (PySpark, Delta Lake, Unity Catalog). •Strong background in data modeling, ETL/ELT frameworks, and data warehousing. •Exposure to AI/ML and data science workloads in Databricks or Snowflake. •Bachelor's degree in computer science, business/data analytics, management information systems, information technology or related field. Combination of education and/or relevant work experience may be accepted in lieu of degree Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!