Director of Data Engineering

LSEG Business Services RM; Bengaluru; On-site; INR 4,000,000 - 9,000,000; Full time

Benefits offered by this job

Competitive benefits

Career growth opportunities

Job summary

LSEG Business Services RM in Bengaluru seeks a Senior Engineering Leader to shape and deliver a cloud data and analytics platform as a product. You will own the vision, set roadmaps for Snowflake, Microsoft Fabric, and AWS, and build a high‑performing, inclusive team focused on reliability, governance, and customer outcomes.

You will coach leaders, hire thoughtfully, embed security and privacy by design, and foster a culture of learning, fast feedback, and transparent delivery across BI, data

Qualifications

• Experience leading large cloud data platforms with measurable business impact.
• Ability to set vision and roadmap for data/analytics products.
• Proven coaching and development of senior engineers and leaders.
• Strong governance, security, and data privacy awareness.

Responsibilities

• Lead with impact: set a clear vision and roadmap for cloud data/analytics products and drive outcomes.
• Design for trust, reliability, and scale: embed governance, security, and data quality from the start.
• Enable great engineering: promote modern data engineering practices, CI/CD, and platform reuse across teams.

Skills

Cloud data platforms

Engineering leadership

Roadmap & strategy

Team coaching & culture

Tools

Snowflake

Microsoft Fabric

AWS

dbt

Python

Spark

Job description

We're operating modern, secure data and analytics platforms that make it easy for teams to use trusted data for analytics, AI, and decision-making.

You’ll work with us to grow and support an engineering organisation of ~30 people, shaping a platform that operates as a product - is reliable, well‑governed, and delightful to use. If you’re excited about scaling teams, simplifying complexity, and delivering clear outcomes, we’d love to hear from you!

What you’ll do

• Lead with impact Partner with us to set a clear vision and roadmap for our cloud data and analytics products (e.g., Snowflake, Microsoft Fabric, AWS), aligned to business value. Champion the creation of digital, developer‑centric platform‑as‑a‑product which provide opinionated self‑service capabilities Prioritise customer outcomes and a product mindset: clear ownership, measurable outcomes, and continuous feedback loops. Grow an inclusive, high‑performing engineering team; coach leaders, hire thoughtfully, create a culture of learning and psychological safety. Create a coherent, coordinated engineering organisation across BI, data management, analytics and data governance - driving one way of working and shared standards.
• Design for trust, reliability, and scale Embed governance, security, privacy, and compliance from the start using tools such as Microsoft Purview and Collibra. Simplify data ingestion from diverse sources with resilient real‑time and batch pipelines. Define and uphold standards for reliability, disaster recovery, and data quality‑minimising data loss and downtime.
• Enable great engineering Uplift engineering craft and consistency: modern software engineering practices, well‑defined interfaces/APIs, automated testing, CI/CD, and operational excellence. Drive platform reuse over one‑off delivery: shared building blocks, reference implementations, and inner‑sourcing where it reduces cost and improves quality. Promote practical, modern data engineering practices (e.g., Python, Spark, dbt) through architecture reviews, coaching, and automation. Measure what matters: use OKRs, KPIs, and service metrics (SLOs/SLIs) to guide decisions and improve outcomes. Build strong relationships with partner teams in Sales, Operations, Finance, Risk, and HR-and with suppliers‑so delivery is predictable and trusted. Build a high‑performance delivery culture: predictable planning, clear ownership, fast feedback, and transparency on delivery, reliability, and customer impact.

About you

• We welcome different paths and experiences. You don’t need to tick every box to apply-if you’re close, we’d love to talk.
• You’ve led senior engineering teams to deliver large‑scale cloud data platforms with clear business impact.
• You’re comfortable making and explaining architectural decisions, and you create space for others to contribute.
• You bring depth in at least some of: Snowflake, Microsoft Fabric, AWS, Spark, Python, dbt-and you learn new tools when they’re the right fit.
• You care deeply about data security, privacy, and governance, and you’ve used tools like Purview or Collibra (or similar) to make this real.
• You communicate clearly with technical and non‑technical audiences, turning complex topics into practical, inclusive narratives.
• You’ve led geographically distributed teams, improving team effectiveness, engineering standards, and delivery outcomes.
• You’ve set reliability standards and supported both analytical and operational workloads at scale.

How we work

People first : We foster inclusive teams where different perspectives are heard and valued. Outcomes over optics : We measure success with transparent goals and service metrics. Craft and pragmatism : We value thoughtful design and automation, balanced with real‑world delivery. Collaboration : We build with our users and partners, not for them. One engineering culture : We work as one team across disciplines and locations, with shared standards, respectful challenge, and a bias to reuse what already works.

Why join us

• Real impact : Your leadership will shape how the company uses data every day.
• Growth : You’ll develop leaders, set strategy, and still stay close to the engineering craft.
• Supportive culture : Flexible working, inclusive practices, and time for learning are part of how we operate.
• Visibility : You’ll collaborate across business and technology, influencing decisions at senior levels.

If you’re energised by building platforms that help people do their best work with data, we’d love to hear from you!

What you’ll get in return:

• High‑impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve high‑value challenges.
• Competitive benefits: We offer a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
• Industry leadership: We deliver brand‑new products that democratize modeling and analytics solutions.
• Career progression: We provide opportunities for continuous learning and professional