MANAGER II DATA ENG

TE Connectivity

Bengaluru, INonsitePosted Jul 9, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

Skills

databrickssap

About the role

Data architecture, modeling & reuse

Own the target data architecture and a governed medallion architecture (Bronze Silver Gold) on Databricks / Microsoft Fabric - domains, entities, lineage, and access models that turn raw source data into AI-ready datasets.

Design for breadth of sources: SAP S/4HANA, 80+ operational systems, Windchill (PLM), SharePoint, TEBIT (40K+ records), and OT / industrial edge data.

Define reusable data models, taxonomies, and semantic structures - with standards for metadata and business definitions - and promote reuse of shared data products across functions and regions.

MCP & enterprise integration

Build and operate the central MCP layer - the “API for AI” - so authentication, security, chunking, and format handling are solved once, centrally, not re-solved per solution.

Define a prioritized MCP connector roadmap (SAP, Windchill, MES…) aligned to value-stream demand, delivering the seven Context 360 types (Role, Process, Asset, Policy, Problem, Objective, Glossary) to agents.

Data availability & AI enablement

Enable priority AI use cases across the value streams by improving the availability, accessibility, and readiness of critical datasets - with OneData, TEIS, and business teams.

Remove data bottlenecks (fragmentation, inconsistent structures, poor quality, unclear ownership) so AI teams get the right data at the right quality and governance.

What your background should look like:

10+ years in data architecture, data engineering, data platform, or enterprise integration, with 3+ years leading technical teams.

Proven delivery of a lakehouse / medallion platform on Databricks and/or Microsoft Fabric.

Enterprise data architecture and information modeling - domains, master/reference data, metadata, taxonomies, and reusable models.

Hands-on integration of enterprise systems (SAP, Windchill/PLM, MES, content stores) with strong data governance, lineage, and access control.

Working knowledge of AI/GenAI data needs (RAG, vector indexing/embeddings) and stakeholder management in a matrix organization.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

SET : Strategy, Execution, Talent (for managers)

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

Job Locations:

Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road

Bangalore, Karnātaka 560076

India

Posting City: Bangalore

Job Country: India

Travel Required: 10% to 25%

Requisition ID: 153645

Workplace Type: Hybrid

External Careers Page: Information Technology

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