Hillenbrand Inc.
DataEngineeringTechnicalLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Data Engineering Technical Lead at Hillenbrand Inc.. Skills: Data Engineering, Technical Leadership, Databricks, Spark. Serve as primary technical lead. Serve as escalation point”
Industry & Context.
Troubleshooting; Root cause analysis; Technical problem-solving
What They're Looking For.
Must Have
12+ years of experience in data engineering, analytics engineering, BI engineering, or related technical roles, Graduate in Engineering / Technology or related field, 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, 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, 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
What You'll Do.
Serve as primary technical lead
Serve as escalation point
Bridge business requirements
Bridge architectural standards
Bridge engineering implementation
Partner with business analysts
Partner with architects
Partner with BI teams
Partner with data engineers
Support successful solution delivery
Interpret technical implementation requirements
Clarify technical implementation requirements
Guide implementation decisions
Review engineering implementations
Support troubleshooting
Support root cause analysis
Act as L1/L2 support lead
Perform lineage analysis
Perform downstream impact analysis
Guide implementation of reusable engineering patterns
Guide implementation of medallion architecture
Guide implementation of gold-layer datasets
Coordinate defect triage
Coordinate release support
Coordinate deployment validation
Coordinate production stabilization activities
Support adoption of engineering standards
Support adoption of CI/CD processes
Support adoption of governance controls
Support adoption of operational best practices
Mentor data engineers
Drive consistency across engineering teams
Drive consistency across platforms
Drive consistency across data products
Document technical patterns
Document implementation standards
Document operational procedures
Document support processes
How You'll Work.
Team & Collaboration
Partner with business analysts; Partner with architects; Partner with BI teams; Partner with DevOps; Partner with data engineers
Communication Scope
Technical communication
Process & Methodology
Release management, Deployment processes
Full 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. The role is heavily focused on technical coordination, engineering enablement, implementation guidance, troubleshooting, impact analysis, and operational stability within a complex enterprise data ecosystem. **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-laye
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