Director, Data Management

Jobtailor

Des Moines (IA)

On-site

USD 170,000 - 250,000

Full time

7 days ago

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Job summary

Jobtailor seeks a visionary leader to define and own the enterprise data platform strategy, driving scalability, performance, and cloud optimization. You will oversee migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using medallion architecture and guide both onsite and remote data engineering teams.

You will partner with enterprise data architects on data models, pipelines, and platform design, transforming a fragmented ecosystem into a single source of truth for

Qualifications

Experience leading enterprise data platform programs across cloud ecosystems.
Strong knowledge of Azure Data Services including Data Lake, Data Factory, Synapse, Event Hub and Key Vault.
Proven ability to mentor large data engineering teams and manage budgets and vendor relationships.

Responsibilities

Define and own the enterprise data platform strategy and roadmap.
Oversee migration to Azure Databricks Lakehouse using medallion architecture.
Lead and mentor onsite and remote data engineering teams.
Partner with data architects on models, pipelines, and platform design.
Transform fragmented data ecosystem into a single source of truth for insurance domains.

Skills

Azure Data Services

Databricks Lakehouse

Data Modeling

PySpark

Leadership

Communication

Education

Bachelor's degree in CS/IT/related

Tools

Azure Databricks

Azure DevOps

Terraform

GitHub Actions

Delta Lake

Unity Catalog

Job description

Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization
Oversee migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using medallion architecture
Lead and mentor data engineers and guide the onsite and remote data engineering team
Partner with enterprise data and solution architects on data models, pipelines, and platform design
Transform a fragmented data ecosystem into a single source of truth for insurance domains
Drive cloud-native engineering best practices, including ETL/ELT optimization, CI/CD, DevOps, cost efficiency, and observability
Ensure data availability, scalability, and reliability for analytics, reporting, and digital initiatives
Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access
Prioritize and manage the enterprise data portfolio and align investments with business value and strategic initiatives
Manage budget, resourcing, and vendor relationships
Evolve the platform roadmap based on emerging technologies such as Databricks, streaming, and AI/ML
Own the Databricks platform and guide business users on Lakehouse adoption
Report to the Chief Data & Analytics Officer

Requirements

Expertise with Azure Data Services, including Data Lake, Data Factory, Synapse, Event Hub, and Key Vault
Ability to lead teams while defining enterprise platform strategy and technical roadmap
Excellent communication and leadership skills to influence technical and business stakeholders
Familiarity with DAMA/DMBOK practices and standards
Familiarity with streaming/real-time ingestion, including Kafka and Event Hub, required
10+ years of experience in data engineering, architecture, or platform leadership
At least 5 years of team management experience
Insurance or financial services experience required
Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems using Databricks or Snowflake
Hands-on experience with Databricks Lakehouse, PySpark, Delta Lake, and Unity Catalog
Strong background in data modeling, ETL/ELT frameworks, and data warehousing
Experience with compliance regulations and handling PHI/PII data
Exposure to AI/ML and data science workloads in Databricks or Snowflake
Experience with DevOps and automation frameworks, including Azure DevOps, Terraform, and GitHub Actions
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

Demonstrates expertise in defining and executing enterprise data platform strategies, with a strong focus on Azure Data Services, Databricks Lakehouse, and data modernization. Proven ability to lead teams, manage budgets, and drive cloud-native engineering best practices while ensuring data availability and compliance.

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