Big Data Engineering

Big Data Architect

  • Gujarat
  • ₹2,560,000 - ₹3,850,000
  • Contract

Job Description

**Big Data Architect** — Digital Transformation / Big Data Engineering (Senior)

- **Location:** Delhi NCR (Gurugram)
- **CTC:** ₹25.6 - ₹38.5 LPA
- **Experience required:** 8-15 years
- **Education:** MBA (Strategy/Technology Management) (preferred)
- **Job type:** Contract
- **Posted on:** 01-Aug-2026

**What you'll work on:**
- Applying Change Management in day-to-day work within the Big Data Engineering function
- Applying Process Digitization in day-to-day work within the Big Data Engineering function
- Applying Business Process Reengineering in day-to-day work within the Big Data Engineering function
- Applying Technology Roadmap Planning in day-to-day work within the Big Data Engineering function
- Applying Stakeholder Management in day-to-day work within the Big Data Engineering function
- Applying Data-driven Decision Making in day-to-day work within the Big Data Engineering function

**What we're looking for:**
- Someone comfortable operating in a digital transformation function helping legacy processes catch up to modern technology
- Strong grip on the fundamentals of big data engineering
- Ability to work contract out of Delhi NCR (Gurugram)

**A few more things:**
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
- Cross-functional collaboration is baked into how the team operates, so strong communication skills matter as much as technical ones.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- No two days look identical — some are heads-down execution days, others are spent almost entirely in stakeholder conversations and reviews.
- Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
- Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
- The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
- High performers in this role typically move into a broader or more senior position within 18-24 months.

If this sounds like the kind of big data architect role you've been looking for, we'd love to hear from you.

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