Sr Director Data Engineering Architecture

Our firm has been engaged by a growing, data-centric healthcare technology and services organization that supports customers through innovative healthcare cost management, member experience, and claims-related solutions. The company operates in a complex, highly regulated environment where technology, data, integration, and operational execution are critical to the business.

The organization is continuing to modernize its enterprise data environment and is looking to add a Senior Director of Data Engineering & Architecture to define technical direction, strengthen the data engineering organization, and accelerate delivery of enterprise-grade data solutions. The team has strong people who can identify problems, but this role requires a leader who has seen proven architecture patterns work at scale and can confidently guide the organization toward solutions that are practical, sustainable, and appropriate for the business.

The right person will combine strong data architecture judgment with practical leadership, helping the team choose proven approaches, avoid unnecessary reinvention, and move major initiatives from ambiguity to execution. This person will also help shape the team, partner with senior business leaders, and oversee outside technology partners when additional investment is used to accelerate delivery.

This is a full-time, direct-hire position that can be based remotely in the United States and must be able to work Eastern Time Zone hours.

The Senior Director of Data Engineering & Architecture will own the direction and evolution of the enterprise data ecosystem. This person will bring the depth of experience to recognize proven solution patterns, understand where teams commonly run into trouble, and guide engineers toward approaches that can scale without repeatedly going back to the drawing board.

The current environment is Microsoft-oriented, including Azure, Azure Data Factory, Microsoft Fabric, One Lake, SQL Server, and Synapse. The strongest candidates will understand modern data platform concepts such as medallion architecture, semantic modeling, data pipelines, analytics consumption patterns, and self-service access to data.

Experience with other enterprise platforms such as Databricks or Snowflake is valuable because this leader should be able to evaluate technology choices objectively and evolve the architecture over time.

This role will work closely with technology leadership, analytics, business operations, and executive stakeholders to make the enterprise data environment more useful to the people consuming it. That includes traditional reporting and analysis, ad hoc analytics, and emerging opportunities to use AI and self-service tools so business users can interact with enterprise data more directly.

Key responsibilities include:

• Lead, assess, and shape the data engineering team, including evaluating skills, clarifying roles, identifying gaps, developing strong performers, and building a more cohesive organization.

• Define enterprise data architecture direction using proven, enterprise-grade patterns and provide the technical judgment needed to avoid repeated redesign or first-time experimentation where established approaches already exist.

• Design and guide solutions across medallion architecture, semantic modeling, data pipelines, integration, reporting enablement, ad hoc analytics, and other core data engineering capabilities.

• Guide the current Microsoft data platform while evaluating where technologies such as Databricks, Snowflake, or other platforms could add value over time without forcing unnecessary wholesale migrations.

• Partner with analytics teams, business users, and executive stakeholders to improve how data is consumed, including…