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Open nowPosted 72 days ago

Learning & Development Partner – Data Engineering Business

Sigmoid38 open roles

Where
Bengaluru, Karnataka, India
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Your applicationOpen nowLearning & Development Partner – Data Engineering BusinessSigmoid · Bengaluru, Karnataka, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Sigmoid postings stay open a median of 24 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 72 days ago

Sigmoid median: 24 days open

The posting

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 Responsibilities

Business 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 & Skills

Experience

  • 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.

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