Data Engineering Technical Lead

Mold-Masters DME India Private Limited, Coimbatore; Coimbatore District; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Mold-Masters DME India Private Limited in Coimbatore is looking for a Data Engineering Technical Lead to provide technical leadership for data engineering initiatives. This role involves ensuring the delivery of scalable and reliable data solutions while guiding the data engineering team.

The ideal candidate will have over 12 years of experience in data engineering, strong technical skills in Databricks, Spark, and SQL, and the ability to translate business requirements into engineering solutions. This position offers a collaborative environment and the opportunity to mentor engineers.

Qualifications

• 12+ years of experience in data engineering or related technical roles.
• Strong understanding of enterprise data warehousing and dimensional modeling.
• Experience with data lineage and dependency analysis.

Responsibilities

• Lead enterprise data engineering initiatives and manage technical execution.
• Guide implementation decisions across data processing pipelines.
• Support troubleshooting and root cause analysis for data issues.

Skills

Data engineering

Analytics engineering

BI engineering

Hands-on with Databricks

Troubleshooting skills

Collaboration skills

Education

Graduate in Engineering/Technology

Tools

Databricks

Spark / PySpark

Delta Lake

SQL

Python

Power BI

Azure Data Factory

Azure Data Lake

Azure DevOps

CI/CD Pipelines

Job description

Position Summary

The Data Engineering Technical Lead serves as the senior technical execution lead for the enterprise data engineering environment. This role bridges business intent, architecture, analytics, and engineering implementation to ensure scalable, reliable, and governed data solutions are successfully delivered. The individual will provide day-to-day technical leadership for data engineers, support implementation decisions, resolve technical ambiguity, guide operational support activities, and help ensure consistency across enterprise data platforms. This role combines strong hands‑on technical expertise with operational leadership, problem‑solving, and the ability to translate business and reporting needs into practical engineering execution.

Work You’ll Do

• Serve as the primary technical lead and escalation point for enterprise data engineering initiatives
• Bridge business requirements, architectural standards, and engineering implementation
• Partner with business analysts, architects, BI teams, DevOps, and data engineers to support successful solution delivery
• Interpret and clarify technical implementation requirements for data engineering teams
• Guide implementation decisions across Databricks pipelines, transformations, and data models
• Review engineering implementations for consistency, scalability, maintainability, and alignment to standards
• Support troubleshooting and root cause analysis for data quality issues, failed pipelines, performance concerns, and production defects
• Act as L1/L2 support lead for enterprise data platform operational issues
• Perform lineage and downstream impact analysis for data model and pipeline changes
• Guide implementation of reusable engineering patterns, medallion architecture, and gold‑layer datasets
• Coordinate defect triage, release support, deployment validation, and production stabilization activities
• Support adoption of engineering standards, CI/CD processes, governance controls, and operational best practices
• Mentor and guide data engineers on technical implementation approaches and enterprise standards
• Drive consistency across engineering teams, platforms, and data products
• Document technical patterns, implementation standards, operational procedures, and support processes

Technical Environment

• Databricks
• Spark / PySpark
• Delta Lake
• SQL
• Python
• Power BI
• Azure Data Factory
• Azure Data Lake
• Unity Catalog / Data Lineage
• Azure DevOps
• CI/CD Pipelines

Basic Qualifications

• 12+ years of experience in data engineering, analytics engineering, BI engineering, or related technical roles and graduate in Engineering / Technology or on related field.
• Strong understanding of enterprise data warehousing, dimensional modeling, and modern data platform concepts.
• Hands‑on experience with Databricks, Spark, Delta Lake, SQL, and Python.
• Experience supporting enterprise‑scale data platforms and engineering teams.
• Strong troubleshooting, root cause analysis, and technical problem‑solving skills.
• Experience reviewing engineering implementations and guiding technical delivery.
• Experience with data lineage, dependency analysis, and downstream impact assessment.
• Ability to translate business and reporting requirements into practical engineering guidance.
• Strong communication and collaboration skills across business and technical teams.
• Knowledge of DevOps, CI/CD, release management, and deployment processes.

Preferred Qualifications

• Experience supporting Power BI semantic models and enterprise reporting environments.
• Experience with Azure cloud data technologies including Azure Data Factory and Azure Data Lake.
• Experience with metadata management, governance, or catalog platforms.
• Experience operating within large, complex, multi‑business‑unit enterprise environments.
• Exposure to AI‑assisted development, automation, or engineering productivity tools.

EEO Statement

EEO: The policy of Hillenbrand Inc. is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, Hillenbrand Inc. and our operating companies are committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [e-mail]. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.