Manager, Data Engineering

DexCare, Inc.; Bengaluru; On-site; INR 3,800,000 - 5,400,000; Full time

Job summary

DexCare, Inc. in Bengaluru, India is seeking a Manager of Data Engineering to lead a team building scalable data pipelines and data infrastructure in a regulated healthcare environment.

You will shape the data engineering roadmap, mentor engineers, manage sprint planning and performance reviews, and collaborate with product and engineering to deliver data solutions while upholding HIPAA and HITRUST standards.

Qualifications

• Bachelor's degree or higher in CS/Engineering or related field.
• 7+ years of data engineering experience, with 2+ years in a leadership role.
• Experience designing and managing large-scale data pipelines and lakehouse architectures.

Responsibilities

• Lead a team of data engineers and mentor engineers.
• Define and execute the data engineering roadmap aligned with DexCare’s goals.
• Architect scalable data pipelines for structured, semi-structured, and unstructured data.
• Collaborate with product and engineering teams to deliver cross-functional data solutions.
• Own end-to-end data ingestion, transformation, storage, and delivery.
• Ensure data quality, governance, and HIPAA/HITRUST compliance.
• Manage relationships with data vendors and partners.
• Promote CI/CD, Infrastructure as Code, and observability.
• Communicate effectively with technical and executive audiences.

Skills

Spark

Flink

dbt

Airflow

Python

Scala

SQL

NoSQL

AWS

GCP

Databricks

Snowflake

BigQuery

Redshift

Tableau

Power BI

D3

CI/CD

Git

Education

Bachelor's degree in Computer Science or related field

Job description

About the Role

As the 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.

This is not a hands‑off role: the right candidate has deep enough data engineering experience to engage meaningfully in technical discussions, code reviews, and architectural trade‑offs, while knowing when to step back and let engineers lead.

This manager owns the health of the team as much as the output. Sprint planning, 1:1s, performance reviews, hiring, and career development are just as important as shipping pipelines on time. The role operates at the intersection of engineering delivery and people leadership—balancing short‑term execution (sprint goals, incident response, stakeholder SLAs) with long‑term investment (mentorship, technical growth, team culture, and process improvement).

What You’ll Do

• 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.

What You’ll Bring

• 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 visualization 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 in the healthcare domain.
• Hands‑on experience with Airflow 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.