At Relatient, we help healthcare organizations optimize patient access through AI-powered workflows, real-time automation, and flexible access tools. We are trusted by over 50,000 providers to modernize the patient experience and have been recognized by Forbes and Deloitte for our innovative and inclusive culture.

We are seeking a Lead Data Engineer to join our team. Our office is located in Amar Tech Park and brings an amazing culture where we focus on work that makes a difference.

Architect, design, and implement scalable data warehouse solutions across cloud and on-premises platforms (e.g., Postgres, Snowflake, Redshift).

Define and enforce data modeling standards, including dimensional and normalized models.

Build and optimize ETL/ELT pipelines for reliable data ingestion, transformation, and distribution.

Integrate data from multiple sources including ERP, CRM, APIs, flat files, and streaming systems.

Develop, deploy, and maintain secure, scalable, and high-performing data pipelines.

Ensure data quality, integrity, lineage, and consistency across enterprise platforms.

Support both batch and near real-time data processing needs.

Optimize SQL queries, schemas, indexing, and partitioning strategies for performance improvements.

Monitor and enhance data platform performance, scalability, and storage efficiency.

Collaborate with DevOps and Infrastructure teams to ensure reliable deployment and monitoring.

Partner with stakeholders to translate business requirements into scalable data solutions.

Provide technical leadership and strategic direction for data architecture and platform modernization.





Identify and resolve architectural gaps and performance bottlenecks

Stay current with emerging technologies and continuously improve the data ecosystem.

Bachelor's degree in computer science, B.E./ B. Tech, computer engineering, or equivalent work experience in lieu of a degree is required

9+ years of experience in software or data engineering roles with increasing technical responsibility

Expertise with at least one major data warehouse platform (e.g., Snowflake, Redshift, BigQuery, Postgres)

Advanced SQL skills and hands-on experience building ETL/ELT pipelines

Strong understanding of data modeling techniques (dimensional, normalized, analytical)

Experience working within cloud-based ecosystems (preferably AWS)

Experience with orchestration tools and version control systems (e.g., Knowledge of data governance, security, and compliance best practices

Experience enabling reporting solutions using BI tools (e.g., Power BI)

Strong problem-solving and performance optimization skills

Experience working in Agile environments and cross-functional teams

Prior experience mentoring engineers or leading technical initiatives preferred

Healthcare domain experience and familiarity with HL7 or FHIR preferred

INR 5,00,000 life insurance for all full time employees and their immediate household.

Education reimbursement

10 national/state holidays and 1 floating holiday

Flexible hours and hybrid work.

We're building a team as diverse as the communities we serve. If you need accommodation during the application process, just let us know.

To learn more about our organization, visit .

📌 Lead Data Engineer SQL AWS (Pune)
🏢 Relatient
📍 Pune