Sr. Manager - Data Engineering

As the Sr. Manager of Data Engineering, you will lead a team of data engineers in building scalable, secure, and high-performance data pipelines and infrastructure. You'll partner cross-functionally with product, engineering, and business stakeholders to define and execute a data engineering roadmap that supports DexCare's internal analytics and external product capabilities. This role blends strategic leadership with hands-on technical execution in a highly regulated healthcare environment.
Responsibilities:
Build, mentor, and manage a high-performing team of data engineers.
Define and execute the data engineering roadmap aligned with DexCare's strategic goals.
Architect and oversee scalable data pipelines for structured, semi-structured, and unstructured data.
Collaborate with product and engineering teams to deliver cross-functional data solutions.
Own the end-to-end lifecycle of data ingestion, transformation, storage, and delivery.
Ensure data quality, governance, and compliance with HIPAA and HITRUST standards.
Manage relationships with third-party data vendors and integration partners.
Drive adoption of modern data engineering practices including CI/CD, Infrastructure as Code, and observability.
Communicate effectively across technical and non-technical audiences, including executives.
Requirements:
Bachelor's degree in Computer Science, Engineering, or related field.
7+ years of experience in data engineering, with 2+ years in a leadership role.
Proven experience designing and managing large-scale data pipelines and lakehouse architectures.
Expertise in Spark, Flink, dbt, and orchestration tools like Airflow or Prefect.
Strong proficiency in Python, Scala, SQL, and NoSQL databases.
Experience with cloud platforms (AWS/GCP), Databricks, and data warehouses (Snowflake, BigQuery, Redshift).
Familiarity with visualisation tools (Tableau, Power BI, D3).
Experience with CI/CD pipelines, version control (Git), and production-grade software systems.
Strong architectural skills and ability to resolve performance bottlenecks.
Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications:
Experience managing real-time data pipelines with low-latency SLAs.
Hands-on experience with Databricks and ML model deployment in cloud environments.
Exposure to deep learning, reinforcement learning, or NLP in production settings.
Experience in healthcare data environments and regulatory compliance.

Experience
5-8 yrs