Data Engineering Technical Lead

This is a fully remote position, open to applicants in India.

📋 Description

• Act as the principal technical authority and escalation contact for enterprise data engineering projects.

• Connect business needs, architectural guidelines, and engineering execution.

• Collaborate with business analysts, architects, BI teams, DevOps, and data engineers to ensure successful solution delivery.

• Clarify and interpret technical implementation requirements for data engineering teams.

• Direct implementation choices across Databricks pipelines, transformations, and data models.

• Evaluate engineering implementations for consistency, scalability, maintainability, and adherence to standards.

• Assist in troubleshooting and root cause analysis for data quality challenges, failed pipelines, performance issues, and production defects.

• Serve as L1/L2 support lead for operational issues related to the enterprise data platform.

• Conduct lineage and downstream impact analysis for changes in data models and pipelines.

• Steer the implementation of reusable engineering patterns, medallion architecture, and gold-layer datasets.

• Manage defect triage, release support, deployment validation, and production stabilization activities.

• Promote the adoption of engineering standards, CI/CD processes, governance controls, and operational best practices.

• Mentor and guide data engineers on technical implementation methods and enterprise standards.

• Promote uniformity across engineering teams, platforms, and data products.

• Document technical patterns, implementation standards, operational procedures, and support processes.

⛳️ Requirements

• Over 12 years of experience in data engineering, analytics engineering, BI engineering, or similar technical roles, with a degree in Engineering / Technology or a related field.

• Strong comprehension of enterprise data warehousing, dimensional modeling, and concepts related to modern data platforms.

• Practical experience with Databricks, Spark, Delta Lake, SQL, and Python.

• Background in supporting enterprise-scale data platforms and engineering teams.

• Excellent troubleshooting, root cause analysis, and technical problem-solving abilities.

• Experience in reviewing engineering implementations and guiding technical delivery.

• Knowledge of data lineage, dependency analysis, and downstream impact evaluation.

• Capability to translate business and reporting requirements into actionable engineering guidance.

• Strong communication and collaboration skills across both business and technical teams.

• Familiarity with DevOps, CI/CD, release management, and deployment processes.

🏝️ Benefits

• EEO: Hillenbrand Inc. is committed to providing equal opportunities to qualified applicants and employees regardless of age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression, or veteran status.

• Moreover, Hillenbrand Inc. and our operating companies are dedicated to being an Equal Employment Opportunity (EEO) Employer, offering opportunities to all job seekers, including individuals with disabilities. If you require a reasonable accommodation to aid with your job search or application for employment, please email us at recruitingaccommodations@hillenbrand.com. In your email, include a description of the specific accommodation you are requesting along with the job title and requisition number of the position you are applying for.

• At Hillenbrand, we welcome everyone to apply and "Shape What Matters for Tomorrow."