Data Engineering Technical Lead

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Hillenbrand

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Manufacturing • Engineering • Sustainability

Hillenbrand is a global provider of highly engineered, mission-critical processing equipment and systems, serving a diverse range of industries including durable plastics, food, and recycling. With a commitment to innovation and sustainability, Hillenbrand focuses on shaping solutions that impact lives and drive growth in a continually changing world. The company emphasizes excellence and continuous improvement, ensuring their products not only meet present-day needs but also anticipate future demands.

📋 Description

• 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 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.

🏖️ Benefits

• 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 [email protected]. 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".