Data Engineering Technical Lead
Hillenbrand
IndiaremotePosted 1 month ago
Skill Required
Data-EngineeringTechnical-LeadData-Platform-EngineeringEnterprise-Data-EngineeringAnalytics-EngineeringTech-Lead-Data-EngineeringData-Engineering-LeadLead-Data-EngineeringLead-Data-EngineerData-Engineering-Team-LeadSenior-Lead-Data-EngineeringSenior-Data-Engineering-LeaderLead-Data-Engineer-JobsData-Tech-LeadTeam-Lead-(Data-Engineering)Data EngineerTechnical Leaddata engineeringEngineeringData Warehousingtroubleshootingrelated fieldCD pipelinesAzureDatabricksSystem AdministrationautomationPower BIanalyticsSparkPythondesignDevOpsCI/CDUnityCloudSQLandCICDAIFulltime
Key highlights
- 12+ years of experience in data engineering, analytics engineering, BI engineering, or related technical roles
- Graduate degree in Engineering / Technology or related field
- Hands‑on experience with Databricks, Spark, Delta Lake, SQL, and Python
- Strong understanding of enterprise data warehousing and dimensional modeling
- Experience supporting enterprise‑scale data platforms and engineering teams
- Preferred experience with Azure Data Factory and Azure Data Lake
Role overview
The Data Engineering Technical Lead serves as the senior technical execution lead for the enterprise data engineering environment, bridging business intent, architecture, analytics, and engineering implementation to ensure scalable, reliable, and governed data solutions are successfully delivered. 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 within a complex enterprise data ecosystem.
Responsibilities
- 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
Requirements
- 12+ years of experience in data engineering, analytics engineering, BI engineering, or related technical roles
- Graduate in Engineering / Technology or a 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
Nice to have
- 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
Additional details
- 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
- Mold-Masters is a leading global supplier of hot runners, controllers, auxiliary injection and co-injection systems. We design, manufacture, distribute, sell and service highly engineered and customized plastic processing equipment that caters to every market. Mold-Masters is a business unit of Hillenbrand.
- Hillenbrand is a global industrial company that provides highly engineered, mission-critical processing equipment and solutions to customers in over 100 countries around the world. Our portfolio is composed of leading industrial brands that serve large, attractive end markets, including durable plastics, food, and recycling. Guided by our Purpose — Shape What Matters For Tomorrow — we pursue excellence, collaboration, and innovation to consistently shape solutions that best serve our associates, customers, communities, and other stakeholders.
- 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. 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. At Hillenbrand, everyone is welcome to apply and 'Shape What Matters for Tomorrow'.
- Originally posted on Himalayas