Engineering Manager - Data

CoinDCX; Bengaluru; On-site; INR 4,500,000 - 7,000,000; Full time

Benefits offered by this job

Design Your Own Benefits

Unlimited Wellness Leaves

Mental Wellness Support

Learning Sessions

Job summary

CoinDCX is seeking an Engineering Manager to strengthen the Data Engineering organization. You will lead a team responsible for building reliable, scalable data platforms that support analytics, regulatory reporting, and AI/ML use cases.

You will translate the data strategy into actionable plans, drive cross‑functional delivery with Product, Analytics, Risk, and Infrastructure, and implement strong governance, security and cost controls across the data platform.

Qualifications

• 10+ years in software/data engineering with leadership
• Experience building large-scale data platforms and pipelines
• Strong knowledge of batch/stream processing and data lakehouse
• Proven ability to drive cross-functional delivery and roadmaps

Responsibilities

• Lead and develop Data Engineers across levels, owning performance and retention.
• Translate roadmap into quarterly plans and ensure delivery predictability.
• Improve data reliability, observability, and cost controls for data platforms.
• Drive strategic priorities with cross-functional teams to enable data self-service

Skills

Leadership

Data platforms

Ingestion pipelines

Cloud AWS

Databricks Spark

Airflow

Stakeholder mgmt

Observability

SLOs

Cost optimization

ML data pipelines

Tools

AWS

Databricks

Spark

Kafka

Airflow

Job description

The CoinDCX Journey: Building the Future of Finance:

At CoinDCX, our mission is clear - to make crypto and blockchain accessible to every Indian and enable them to participate in the future of finance.

As India’s first crypto unicorn valued at $2.45B, we are reshaping the financial ecosystem by building safe, transparent, and scalable products that power adoption at scale.

We believe that change starts together. It begins with bold ideas, relentless execution and people who want to build what’s next.

If you’re driven by purpose and thrive in environments where your work defines the next chapter of an industry, you’ll feel right at home here.

About the Role

We are looking for an Engineering Manager to strengthen the execution and people leadership of our Data Engineering organisation. You will lead a team responsible for building reliable, scalable and cost-efficient data platforms that support analytics, regulatory reporting, operational systems and AI/ML use cases.

This role will translate the organisation’s data strategy and platform roadmap into predictable execution while building a high-performing and engaged engineering team.

What You’ll Do

People and Team Leadership

• Lead, coach and develop Data Engineers across multiple levels.
• Own performance management, career development, succession planning and retention.
• Drive hiring, onboarding and capability development.
• Build clear ownership, accountability and a strong engineering culture.
• Maintain team health through regular feedback, workload management and people pulse actions.

Delivery and Execution

• Convert the platform roadmap into clear quarterly plans, milestones and measurable outcomes.
• Own delivery predictability, execution governance, dependency management and risk escalation.
• Coordinate execution across Product, Analytics, Finance, Risk, Security, Infrastructure and application engineering teams.
• Establish effective planning, design review, operational review and incident-management practices.
• Reduce unplanned work by addressing recurring incidents, operational gaps and manual dependencies.

Platform Reliability and Operational Excellence

• Improve the reliability, availability, data quality and observability of critical data products and pipelines.
• Establish appropriate SLIs, SLOs, ownership and on-call practices for critical data services.
• Drive root-cause closure and ensure production learnings translate into engineering improvements.
• Strengthen security, governance, compliance and cost controls across the data platform.

Strategic Execution Priorities

Partner with the VP of Data Engineering and Senior Staff Engineer to deliver three major priorities:

• Data decentralisation and self-service
• Enable domain teams to discover, onboard, publish and operate trusted data products.
• Establish clear ownership boundaries, data contracts, quality standards and reusable platform capabilities.
• Reduce dependency on the central Data Engineering team for routine data needs.

Platform cost transformation

• Improve platform economics through workload optimisation and fit-for-purpose architecture.
• Support the transition from premium vendor-dependent solutions toward sustainable native and open technologies where appropriate.
• Establish cost visibility, accountability and unit economics for major workloads.
• ML and AI platform enablement
• Build the data foundations and engineering capabilities required for production AI/ML use cases.
• Partner with Data Science, Product and ML Engineering on data readiness, feature pipelines, governance and productionisation.
• Enable repeatable movement from experimentation to reliable production systems.

You’ll Excel in This Role If You Have:

• 10+ years of software or data engineering experience, including 3+ years managing engineering teams.
• Strong experience building and operating large-scale data platforms or distributed systems.
• Hands‑on understanding of data ingestion, batch and streaming processing, lakehouse or warehouse architectures, orchestration and data quality.
• Demonstrated experience managing platform roadmaps and complex cross‑functional delivery.
• Strong people leadership across hiring, coaching, performance management and retention.
• Experience establishing operational excellence through observability, SLOs, incident management and root‑cause prevention.
• Ability to balance delivery speed, platform reliability, technical debt and cost.
• Strong communication and stakeholder‑management skills.
• Experience with AWS, Databricks, Spark, Kafka, Airflow and modern lakehouse technologies.
• Experience building self‑service platforms or implementing data‑product/domain‑ownership models.
• Exposure to ML platforms, feature pipelines or production AI systems.
• Experience operating data systems in a regulated, financial‑services or high‑availability environment.
• Experience driving cloud or platform cost optimisation.

You’ll Know You’re Winning When:

• Analytical Rigor: Exceptional problem‑solving skills and attention to detail
• Technical Excellence: Ability to bridge quantitative research and engineering implementation
• Strategic Thinking: Can balance short‑term tactical improvements with long‑term strategic goals
• Collaboration: Excellent communication skills to work across quant, product, and engineering teams
• Adaptability: Thrives in fast‑paced, dynamic crypto markets with rapidly changing conditions
• Ownership: Takes full accountability for market quality and strategy performance

Where We Work:

We believe the best ideas emerge when people build together. Collaboration, speed and trust come alive when teams share the same space.

With this belief, we operate as a work‑from‑office organisation. This role is based out of our Bangalore office, where energy, alignment and innovation move in real time.

Perks That Empower You:

• Design Your Own Benefits: Flexible perks to match your lifestyle
• Unlimited Wellness Leaves: Rest and recharge as you need
• Mental Wellness Support: Access to therapy and wellness resources
• Learning Sessions: Bi‑weekly learning and growth opportunities

Ready to Build What’s Next?

If you’re looking for a role that gives you direct access to high‑stakes decisions, deep impact and a chance to build the future of finance, this is it.

Join CoinDCX and help us make crypto accessible to every Indian, together.