Senior Software Data Architect

Senior Software Data Architect This position is remote

We are more than just a healthcare company; we are a community of professionals driven by the knowledge that our success leads to a positive impact on the communities that we support.

At ComplexCare Solutions, you’ll play a crucial part in innovating solutions that empower health plan members and healthcare providers alike. Our collaborative environment fosters creativity and initiative, ensuring that every idea and effort contributes to meaningful change in the industry. Join us and become a part of a team that turns vision into action, making a tangible impact on the future of healthcare.

Overview: The Senior Software Data Architect is a strategic, hands-on leadership role responsible for defining and delivering next-generation data platforms, including enterprise data lakehouse and data warehouse solutions. This role leads the architecture, design, and evolution of scalable data ecosystems that power advanced analytics, AI/ML, and business intelligence capabilities. As a key member of the data engineering and platform team, this individual drives the development of modern data pipelines and frameworks leveraging Databricks technologies to enable high-quality, trusted, and actionable data for both internal stakeholders and external customers. This role requires deep collaboration across engineering, product, analytics, and business teams to define data models, enforce data governance, ensure data quality, and deliver insights that improve decision-making, forecasting, and operational outcomes. The Senior Software Data Architect also serves as a thought leader, establishing standards, mentoring teams, and influencing enterprise-wide data architecture strategy.

Duties and Responsibilities:

• Define and lead the architecture of enterprise-scale data platforms, including lakehouse, data warehouse, and real-time data processing frameworks.

• Design scalable, secure, and high-performance data pipelines using Databricks and modern cloud-native architectures.

• Establish enterprise data models, canonical data structures, and metadata management strategies.

• Drive adoption of data governance, data quality, lineage, and cataloging frameworks (e.g., Unity Catalog).

• Architect and enable robust data ingestion, transformation, and delivery pipelines (batch and streaming).

• Design systems that support advanced analytics, AI/ML, and self-service BI capabilities on Power BI or AI/BI Dashboards.

• Ensure data accuracy, completeness, consistency, and reliability across platforms.

• Identify and resolve data anomalies, performance bottlenecks, and pipeline inefficiencies.

• Partner with product, engineering, analytics, and business teams to gather requirements and translate them into scalable architecture solutions.