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Decision Foundry®
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Bengaluru · On-site · 7-10 Yrs · Oct 2
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
About the Role We are looking for a Lead Data Engineer to design, build, and scale cloud native data infrastructure and pipelines that power analytics, reporting, and AI/ML initiatives.
Responsibilities
- Design and optimize Snowflake schemas, warehouses, and query performance, driving down processing times and controlling compute costs
- Build and manage cloud infrastructure on AWS (compute, storage, orchestration, and managed data/ML services) in partnership with cloud engineering
- Lead data pipeline orchestration using modern tooling (dbt, Airflow, Glue, or similar) to reliably feed dashboards, reports, and downstream applications
- Design and deploy data driven applications and pipelines in support of business and analytics use cases
- Provide technical leadership across the data engineering function: setting standards, reviewing designs, and mentoring engineers
Qualifications
- 7+ years of experience designing, building, and deploying data engineering pipelines and platforms
- Deep hands on expertise with Snowflake and strong SQL skills across relational and cloud data warehouses
- Strong experience with AWS cloud services for data engineering (compute, storage, orchestration, and managed services)
- Proficiency in Python for pipeline development and automation
- Familiarity with containerization (Docker, Kubernetes) for data environments
- Ability to design and support lightweight APIs/services for data delivery
- Bachelor's degree in Computer Science, Information Technology, or a related field
Nice to have
- Exposure to AI/ML tooling and workflows, including LLM based applications
- Relevant cloud or data engineering certifications
- Prior consulting or client facing delivery experience across multiple industries
- AI/ML SQL Tableau ETL/ELT AWS Power BI Docker Kubernetes Python
- Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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Job application FAQ
Last updated 9 October 2026
- How do I apply for Lead Data Engineer, Cloud Data & Analytics at Decision Foundry®?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Decision Foundry® may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Data Engineer, Cloud Data & Analytics role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Data Engineer, Cloud Data & Analytics remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Lead Data Engineer, Cloud Data & Analytics role at Decision Foundry®?
- This is a lead Lead Data Engineer, Cloud Data & Analytics role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.