Job Information
Evolent Senior Director of Data Platform Engineering in Charleston, West Virginia
Your Future Evolves Here
Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones.
Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business.
Join Evolent for the mission. Stay for the culture.
What You’ll Be Doing:
Summary
The Sr. Director of Software Engineering over the Data Engineering Platform has responsibility for the Data Engineering Platform used across Evolent. The team they will lead will work with the other Data Engineering teams at Evolent especially in the Client Data Engineering and Common Data Engineering areas to define best practices and standards that will be codified in software solutions (shared libraries). Those best practices and standards and potential solutions extend to Data Governance, Data Quality, and Data Observability. This may include implementing a data catalog to improve data literacy across Evolent and providing solutions that will facilitate easier performance analysis and error resolution and improved data quality by data engineering teams The solutions and standards provided by the team will also be used by our Data Science/AI teams in the DS and AI solutions they are building. The technology foundation is based on Microsoft’s Fabric Data Platform and leverages Python and Spark heavily.
Responsibilities
Lead the Data Engineering Platform team with responsibility for the design, development, delivery, and operations of platform software components and collaborate with the infrastructure organization on the infrastructure components of the core data platform
Partner with executive leadership, product management, and other stakeholders to define technology roadmaps and long-term strategies related to Evolent’s data platform.
Provide strategic direction and leadership to the data engineering organization, aligning technical objectives with business goals.
Develop and enforce best practices for software development, architecture, and quality assurance.
Build and maintain a strong engineering culture focused on innovation, collaboration, and continuous improvement.
Lead the implementation of advanced data observability practices to enhance troubleshooting efficiency, optimize performance, and ensure high-quality data pipelines, enabling proactive issue detection and resolution.
Mentor and develop engineering managers and senior technical staff, fostering leadership and technical growth.
Manage budgets, resource planning, and performance metrics to ensure the organization operates efficiently.
Represent the engineering organization in executive-level discussions and communicate progress, risks, and opportunities effectively.
Required Qualifications:
Bachelor’s degree in computer science, software engineering, or a related field
12+ years of software engineering experience, with at least 7+ years in leadership roles managing distributed teams
Proficiency in Agile development methodologies and scaling Agile practices across teams
Exceptional leadership and team-building skills, with a focus on fostering a culture of innovation and accountability
Proven track record of delivering complex, enterprise-scale software projects on time and within budget
Strong business acumen with the ability to align technical strategies with organizational goals and priorities
Outstanding communication, collaboration, and stakeholder management skills, with the ability to influence at all levels of the organization
Strong technical expertise in software architecture and modern data pipeline development
Deep understanding of cloud data platforms (e.g., Azure, AWS, GCP)
Development of modern, resilient data pipelines in Python and PySpark
Delivery of data pipelines using modern DevOps practices
Automated testing of data pipelines and the implementation of data quality checks to support greater data observability and reliability
Experience with data lake technologies like Databricks, Microsoft Fabric, or Snowflake
Experience with Microsoft Fabric and Microsoft Purview is preferred
Familiarity with data pipeline development tools and frameworks like dbt, Great Expectations, Databricks Live Tables, Airflow, and Dagster is preferred
Understanding of event-driven data pipeline orchestration. Knowledge of Domain Driven Design is preferred
Understanding of FHIR and experience with a commercial FHIR implementation (e.g., Microsoft AHDS, Smile, firely, Onyx) is preferred
Proficiency in Power BI is preferred
Experience with data governance tooling like data catalogs is preferred
Technical Requirements:
We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.
Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance.
The expected base salary/wage range for this position is $170,000 - 210,000. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.
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