> job detail
T
π½Other
MANAGER II DATA ENG (Bangalore, KA, IN, 560076)
TE Connectivity Β· Bangalore, KA, IN, 560076
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Bangalore, KA, IN, 560076
languages
β
tools
databricks
> stack
databricks
> description
<p><br><span style="font-size:14.0px"><span style="font-family:Arial, Helvetica, sans-serif"><strong>At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.Β </strong></span></span></p><div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Job Overview</b></H2>
</div><div><p style="margin:6.4pt 0.0in 1.2pt;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a"><strong><span style="color:#263238">Data architecture, modeling & reuse</span></strong></p>
<ul style="margin-top:0.0in;margin-bottom:2.5pt">
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a"><strong>Own</strong> the target data architecture and a governed medallion architecture (Bronze β Silver β Gold) on Databricks / Microsoft Fabric β domains, entities, lineage, and access models that turn raw source data into AI-ready datasets.</li>
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a"><strong>Design</strong> for breadth of sources: SAP S/4HANA, 80+ operational systems, Windchill (PLM), SharePoint, TEBIT (40K+ records), and OT / industrial edge data.</li>
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a"><strong>Define</strong> reusable data models, taxonomies, and semantic structures β with standards for metadata and business definitions β and promote reuse of shared data products across functions and regions.</li>
</ul>
<p style="margin:6.4pt 0.0in 1.2pt;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a"><strong><span style="color:#263238">MCP & enterprise integration</span></strong></p>
<ul style="margin-top:0.0in;margin-bottom:2.5pt">
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a"><strong>Build and operate</strong> the central MCP layer β the βAPI for AIβ β so authentication, security, chunking, and format handling are solved once, centrally, not re-solved per solution.</li>
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a"><strong>Define</strong> a prioritized MCP connector roadmap (SAP, Windchill, MESβ¦) aligned to value-stream demand, delivering the seven Context 360 types (Role, Process, Asset, Policy, Problem, Objective, Glossary) to agents.</li>
</ul>
<p style="margin:6.4pt 0.0in 1.2pt;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a"><strong><span style="color:#263238">Data availability & AI enablement</span></strong></p>
<ul style="margin-top:0.0in;margin-bottom:2.5pt">
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a"><strong>Enable</strong> priority AI use cases across the value streams by improving the availability, accessibility, and readiness of critical datasets β with OneData, TEIS, and business teams.</li>
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a"><strong>Remove</strong> data bottlenecks (fragmentation, inconsistent structures, poor quality, unclear ownership) so AI teams get the right data at the right quality and governance.</li>
</ul>
<p style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a">Β </p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>What your background should look like:</b></H2>
</div><div><ul style="margin-top:0.0in;margin-bottom:2.5pt">
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a">10+ years in data architecture, data engineering, data platform, or enterprise integration, with 3+ years leading technical teams.</li>
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a">Proven delivery of a lakehouse / medallion platform on Databricks and/or Microsoft Fabric.</li>
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a">Enterprise data architecture and information modeling β domains, master/reference data, metadata, taxonomies, and reusable models.</li>
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a">Hands-on integration of enterprise systems (SAP, Windchill/PLM, MES, content stores) with strong data governance, lineage, and access control.</li>
<li style="margin:0.0in 0.0in 2.5pt 0.0px;line-height:106%;font-size:10.5pt;font-family:Calibri, sans-serif;color:#1a1a1a">Working knowledge of AI/GenAI data needs (RAG, vector indexing/embeddings) and stakeholder management in a matrix organization.</li>
</ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Competencies</b></H2>
</div><div><div>Values: Integrity, Accountability, Inclusion, Innovation, Teamwork</div><div>SET : Strategy, Execution, Talent (for managers)</div></div></div></div><p><strong>ABOUT TE CONNECTIVITY</strong></p>
<p>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.</p>
<p>Β </p>