Lead Data Engineer Hybrid Remote, 2 Locations Lead Data Engineer

Description

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.

Your Role at Relatient

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.

How You’ll Make an Impact

• 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.
• Implement best practices for availability, backup, disaster recovery, and security
• 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.
• Lead technical initiatives and mentor engineers on best practices and design standards.
• Identify and resolve architectural gaps and performance bottlenecks
• Stay current with emerging technologies and continuously improve the data ecosystem.

What You Bring:

• 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., Git)
• 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

Mindsets That Matter:

• Take ownership and follow through with accountability
• Communicate clearly and collaborate across teams
• Continuously improve and look for opportunities to automate

Benefits of Working Here May Include:

• INR 5,00,000 life insurance for all full‑time employees and their immediate household.
• INR 15,00,000 accident coverage
• Education reimbursement
• 10 national/state holidays and 1 floating holiday
• Flexible hours and hybrid work.

Equal Opportunity at Relatient:

We’re building a team as diverse as the communities we serve. Relatient is proud to be an equal‑opportunity employer. If you need accommodation during the application process, just let us know.

To learn more about our organization, visit