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Lead Data & Analytics Engineer

Lead the development of scalable, event-driven data pipelines for AI applications
Bangalore
Senior
yesterday
Vontier

Vontier

A global industrial technology company specializing in transportation and mobility solutions, including fueling, fleet management, and environmental sensors.

Lead Engineer

We are looking for a hands-on Lead Engineer who will lead the design and implementation of our modern data AI & analytics platforms. You will be working with and be a part of an engineering and DevOps team to deliver highly-scalable, event-driven, serverless solutions in Snowflake, AWS and Azure. While you will not build machine-learning models yourself, you will be responsible for delivering ML-ready and AI read features and real-time data services that power them.

Key responsibilities

  • Architect and develop serverless, event-driven data pipelines (batch & streaming).
  • Design and implement robust Snowflake data warehouses and data lake integrations across AWS and Azure.
  • Build automated data-feature preparation layers to support AI, ML inference & training workloads.
  • Establish and champion modern SDLC practices, including trunk-based development, automated testing, peer review and CI/CD.
  • Define and enforce data quality, observability and lineage standards.
  • Collaborate with data scientists and product teams to translate feature requirements into performant data products.
  • Mentor engineers through design sessions, code reviews and pair programming (no direct people management).

• 8+ years total software / data engineering experience, 3+ years in a lead or principal IC capacity.

• Proven delivery of production-grade, event-driven, architectures (AWS Lambda, Azure Functions, Step Functions, EventBridge, etc.).

• Expert-level Snowflake skills (Snowpipe, Snowpark, performance tuning, RBAC).

• Deep hands-on experience with AWS (S3, Glue, Kinesis, IAM) and Azure (ADF, Event Hubs, Functions).

• Strong SQL, Python, Node.js and JavaScript experience.

• Demonstrated knowledge of Data preprocessing and Feature Engineering. AI Deployment and Integration.

• Track record automating data workflows and infrastructure.

• Fluency in modern CI/CD tooling (GitHub Actions, GitLab CI, Azure DevOps, or similar).

Preferred / nice to have

  • Streamlit application development and dashboarding experience.
  • Familiarity with BI tools such as Power BI, Tableau or Looker.
  • Data governance frameworks (e.g., GDPR, HIPAA, SOC-2).

Vontier (NYSE: VNT) is a global industrial technology company uniting productivity, automation and multi-energy technologies to meet the needs of a rapidly evolving, more connected mobility ecosystem. Leveraging leading market positions, decades of domain expertise and unparalleled portfolio breadth, Vontier enables the way the world moves – delivering smart, safe and sustainable solutions to our customers and the planet. Vontier has a culture of continuous improvement and innovation built upon the foundation of the Vontier Business System and embraced by colleagues worldwide.

At Vontier, we empower you to steer your career in the direction of success with a dynamic, innovative, and inclusive environment.

Our commitment to personal growth, work-life balance, and collaboration fuels a culture where your contributions drive meaningful change. We provide the roadmap for continuous learning, allowing creativity to flourish and ideas to accelerate into impactful solutions that contribute to a sustainable future.

Join our community of passionate people who work together to navigate challenges and seize opportunities. At Vontier, you are not on this journey alone-we are dedicated to equipping you with the tools and support needed to fuel your innovation, lead with impact, and thrive both personally and professionally.

Together, let's enable the way the world moves!

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Lead Data & Analytics Engineer
Bangalore
Engineering
About Vontier
A global industrial technology company specializing in transportation and mobility solutions, including fueling, fleet management, and environmental sensors.