Learning & Development Partner – Data Engineering Business

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Expert/Leader
Information Technology • Consulting
The Role
Partner with Data Engineering leaders to design and deliver technical, leadership, and AI-focused learning roadmaps. Develop role-based learning pathways, leverage SMEs and AI tools for content, manage multiple programs, measure impact via LMS and analytics, and advise leadership on talent readiness and capability development.
Summary Generated by Built In
Learning & Development Partner – Data Engineering Business

Experience: 10–13 Years

Role Purpose

The Learning & Development Partner will work closely with the Data Engineering business leadership to design, drive, and deliver learning strategies that build critical technical capability, leadership depth, and future-ready skills. This role acts as a strategic partner to the business, ensuring learning directly enables business growth, delivery excellence, and talent readiness.

Key ResponsibilitiesBusiness Partnership & Strategy
  • Partner with Data Engineering leaders to understand business priorities, capability gaps, and future skill needs.

  • Translate business goals into structured learning roadmaps covering technical, leadership, and behavioral competencies.

  • Develop and execute an AI capability-building roadmap for employees, aligned with business priorities and emerging technology trends.

  • Act as a trusted advisor to leaders on talent development and skill readiness.

Technical and Capability Development
  • Design and curate learning interventions for Data Engineering roles.

  • Leverage internal Subject Matter Experts (SMEs) and external partners to create high-impact, contextual learning programs.

  • Ensure learning pathways are role-based, progressive, and aligned to career growth.

  • Leverage AI tools for content design and development, and learning operations.

Leadership and Behavioral Development
  • Support the design and delivery of leadership development programs for technical and people leaders within the Data Engineering function.

  • Embed skills such as communication, stakeholder management, execution excellence, and people leadership.

Learning Governance and Effectiveness
  • Define success metrics to measure learning effectiveness and business impact.

  • Review learning outcomes through feedback from managers, mentors, and participants.

  • Continuously refine programs based on data, feedback, and evolving business needs.

  • Leverage Learning Management Systems (LMS) to track learning progress, adoption, and effectiveness, with a working understanding of LMS capabilities and governance.

Stakeholder and Program Management
  • Manage multiple learning initiatives simultaneously while ensuring quality, timelines, and alignment.

  • Collaborate closely with HR, Talent, and leadership teams to drive cohesive development outcomes.

Required Experience & SkillsExperience
  • 10–13 years of experience in Learning & Development, with prior experience supporting Data Engineering or similar technical businesses.

  • Understanding of Data Engineering roles, skills, and career progression.

  • Proven experience in business partnering and influencing senior stakeholders.

  • Experience designing structured learning journeys covering both technical and leadership development.

  • Ability to translate complex technical needs into effective learning solutions.

Skills
  • Strong communication, stakeholder management, and execution skills.

  • Strong reporting and analytics capability, with advanced proficiency in Microsoft Excel and PowerPoint to generate clear, insightful monthly learning reports and dashboards.

Note:

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

Skills Required

  • 10-13 years of experience in Learning & Development, with prior experience supporting Data Engineering or similar technical businesses.
  • Understanding of Data Engineering roles, skills, and career progression.
  • Proven experience in business partnering and influencing senior stakeholders.
  • Experience designing structured learning journeys covering both technical and leadership development.
  • Ability to translate complex technical needs into effective learning solutions.
  • Strong communication, stakeholder management, and execution skills.
  • Strong reporting and analytics capability, with advanced proficiency in Microsoft Excel and PowerPoint.
  • Working understanding of Learning Management Systems (LMS) capabilities and governance.
  • Experience leveraging AI tools for content design, development, and learning operations.
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The Company
HQ: San Francisco, CA
499 Employees
Year Founded: 2013

What We Do

Sigmoid is a leading data engineering and AI solutions company that helps enterprises gain a competitive advantage with effective data-driven decision-making. Our team is strongly driven by the passion to unravel data complexities. We generate actionable insights and translate them into successful business strategies. We leverage our expertise in open-source and cloud technologies to develop innovative frameworks catering to specific customer needs. Our unique approach has positively influenced the business performance of our Fortune 500 clients across CPG, retail, banking, financial services, manufacturing, and other verticals. Backed by Sequoia Capital, Sigmoid has offices in New York, San Francisco, Dallas, Lima, Amsterdam, and Bengaluru. We are recognized among the world's fastest growing and innovative tech companies, winning several awards and recognition like the Deloitte Technology Fast 500, Financial Times- The Americas’ Fastest Growing Companies, Inc. 5000, Great Place To Work- India’s Best Leaders in Times of Crisis, Data Breakthrough, Aegis Graham Bell, TiE50, NASSCOM Emerge 50, and others. Learn more: https://www.sigmoid.com/ or https://sigmoid.com/careers/ for careers.

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