Data Engineer

Overview

Dear Candidates,

We’re Hiring! 🚀

Job Title: Data Engineer

Experience: 12+ Years (Only)

Location: Delhi NCR

Employment Type: Full-Time, Hybrid

Notice Period: Immediate Joiners, 15 to 30 Days

🔷 About the Role

Deloitte is looking for a transformational Data Engineer to lead large‑scale cloud, data, and AI modernization programs. This is a strategic leadership position requiring deep technical architecture expertise, strong consulting acumen, and the ability to influence C‑suite clients.

As a Director, you will define data platform strategies, own delivery outcomes, drive innovation, and lead multi‑geography teams. You will shape Deloitte’s Data & AI offerings, grow key accounts, and architect solutions leveraging Microsoft Azure, Databricks, SQL, and advanced data engineering frameworks.

🔷 Key Responsibilities

1️⃣ Strategic Leadership & Vision

• Define the data engineering strategy, operating models, and modernization roadmaps for enterprise clients.
• Lead cloud transformation programs leveraging Azure Data Platform and Databricks Lakehouse architecture.
• Drive innovation through accelerators, reusable frameworks, automation, and best practices.
• Contribute to practice growth—solution development, capability building, and go‑to‑market initiatives.

2️⃣ Architecture & Technical Excellence

• Provide architectural oversight for large, complex data ecosystems across Azure services (ADF, Synapse, ADLS, Azure SQL, Functions, Purview).
• Guide the design of ETL/ELT pipelines, batch/streaming integrations, Delta Lake patterns, and performance‑optimized SQL workloads.
• Ensure technical integrity, scalability, and security across all solutions.
• Conduct architecture reviews, maturity assessments, and cloud optimization strategies.

3️⃣ Delivery Leadership & Governance

• Oversee multi‑tower, multi‑geography delivery teams (300+ across onsite/offshore models).
• Own program governance, quality, SLAs, risk mitigation, and client stakeholder relationships.
• Drive operational excellence through DevOps, CI/CD pipelines, cost optimization, and monitoring frameworks.
• Mentor Senior Managers, Architects, and Engineering Leads across projects.

4️⃣ Client Advisory & Executive Engagement

• Serve as a trusted advisor to C‑suite: CTO, CIO, CDO, and Chief Architect teams.
• Translate complex business challenges into actionable cloud & data strategies.
• Lead consulting engagements, architecture workshops, and executive steering committees.
• Influence long-term client partnerships and identify opportunities for expansion.

5️⃣ Business Development & Practice Growth

• Lead solutioning for RFPs, large deals, and transformation programs.
• Build proposals, construct delivery models, and estimate multi‑year programs.
• Support Deloitte leadership in scaling the Data & AI practice through hiring, training, and thought leadership.
• Represent Deloitte in conferences, industry forums, and innovation councils.

🔷 Required Skills & Experience

Technical Skills

• 10+ years in data engineering, with at least 5+ years in senior leadership roles.
• Deep, hands-on architectural expertise in Microsoft Azure data ecosystem:
• ADF, Synapse, ADLS Gen2, Azure SQL, SQL MI, Azure Functions, Purview, Event Hub.
• Extensive experience with Databricks, including PySpark, Delta Lake, streaming, notebooks, and job clusters.
• Strong command of SQL, data modeling, optimization, and large-scale data warehouse modernization.
• Expertise in lake house architecture, medallion frameworks, governance, and security patterns.
• Strong understanding of DevOps, CI/CD, Infrastructure as Code, and data observability tools.

Leadership & Consulting Skills

• Proven track record leading large delivery programs ($5M–$30M+).
• Strong client leadership, advisory, and communication skills.
• Experience interacting with C‑suite executives and influencing decisions.
• Ability to mentor and grow high‑performing engineering and architecture teams.
• Strong business acumen—budgeting, P&L awareness, estimating, and forecasting.

🔷 Preferred Qualifications

• Azure certifications: AZ‑305, DP‑203, AZ‑400, or cloud architect credentials.
• Experience in AI/ML platforms, MLOps, and Databricks Unity Catalog.
• Exposure to multi-cloud transformation programs (AWS or GCP).
• Domain expertise in BFSI, retail, healthcare, telecom, or manufacturing.
• Global consulting experience with Fortune 500 clients.

If you’re passionate about data, enjoy tackling complex challenges, and want to make an impact in a dynamic environment, we’d love to hear from you!

Kindly apply here 📩,

Data Engineer – Fill out form