Data Technology Lead

Westfield • Westfield Center, OH

20d

About The Position

The role is part of the Data, Analytics and Reporting team. This role leads a team of data engineers and data testers to deliver secure, scalable, and high-quality data solutions that support analytics, reporting, and business operations. The Data Technology Lead collaborates with stakeholders to understand technology and data requirements, implements best practices for data governance and testing, and drives innovation in data engineering. The position involves managing modern cloud-based platforms, while fostering a culture of continuous improvement and technical excellence within the IT team.

Requirements

• 7+ years of experience in data engineering, with at least 2 years in a data leadership role.
• Insurance industry experience required
• Bachelor's degree in Computer Science, Information Technology, or a related field and/or commensurate experience.
• Proficiency in SQL.
• Expertise in Snowflake, Azure Data Lake, dbt, and modern data platforms.
• Strong experience in data integration, data warehousing, and data lake architectures.
• Experience with Azure DevOps, CI/CD pipelines, and Git for code management
• Familiarity with data testing methodologies and tools.
• Excellent leadership, communication, and problem-solving skills.

Nice To Haves

• Master's degree in related field is preferred.
• Optional skills in Python and experience with modern data frameworks (e.g., Spark).
• Awareness of Generative AI (GenAI) capabilities to accelerate development and testing processes.

Responsibilities

• Data Architecture & Engineering: Design, develop, and maintain robust data pipelines and architectures for structured and unstructured data; optimize workflows across Azure Data Lake, Snowflake, and other environments; implement best practices for data modeling and transformation using dbt.
• Team Leadership: Lead and mentor data engineers and testers; manage workload distribution; foster collaboration and innovation.
• Testing & Quality Assurance: Establish data testing frameworks; ensure data accuracy and reliability; integrate testing into broader QA processes.
• Collaboration & Stakeholder Engagement: Partner with analytics, BI, and business teams to deliver data solutions; provide technical guidance.
• Vendor & Tool Management: Evaluate and select tools and vendors; negotiate contracts and manage relationships.
• Business Continuity: Develop and maintain disaster recovery and business continuity plans for data systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level