The global demand for Data Engineering, Cloud Architecture, AI Engineering, Machine Learning, and Master Data Management (MDM) professionals continues to grow rapidly, and Deloitte is actively hiring experienced candidates across multiple technology domains. If you’re looking for an opportunity to work on enterprise-scale digital transformation projects with one of the world’s largest consulting organizations, this is the perfect time to explore these openings.
According to the shared hiring update, Deloitte is looking for professionals with expertise in Data Architecture, AWS, Azure, GCP, Snowflake, Databricks, GenAI, Machine Learning, Informatica MDM, Reltio, Collibra, Oracle Analytics Cloud (OAC), CDI, CAI, and CDQ.
Whether you’re an experienced Data Engineer, Cloud Architect, AI Engineer, or MDM Specialist, these opportunities can significantly accelerate your career.
📌 Available Positions
| Position / Skill | Experience Required |
|---|---|
| Data Modeler | 6–10 Years |
| Snowflake | 10–15 Years |
| GCP Architect | 10–15 Years |
| AI Architect | 10–15 Years |
| Azure Architect | 10–15 Years |
| Data Architect | 10–15 Years |
| Snowflake Architect | 10–15 Years |
| Databricks Architect | 10–15 Years |
| Databricks Manager | 10–15 Years |
| AWS Architect | 10–15 Years |
| GenAI Engineer | 3–6 Years |
| GenAI Engineer | 6–10 Years |
| AWS Data Engineer | 6–10 Years |
| Google Cloud Platform Data Engineer | 6–10 Years |
| Machine Learning Engineer | 6–10 Years |
| Python Data Engineer | 6–10 Years |
| Oracle Analytics Cloud (OAC) | 6–10 Years |
| Informatica MDM SaaS | 3–6 Years |
| Informatica MDM SaaS | 6–10 Years |
| Collibra Developer | 3–6 Years |
| Collibra Developer | 6–10 Years |
| Reltio MDM | 3–6 Years |
| Reltio MDM | 6–10 Years |
| CDI | 6–10 Years |
| CAI | 6–10 Years |
| CDQ | 6–10 Years |
| Informatica MDM | 6–10 Years |
🏢 About Deloitte
Deloitte is one of the world’s largest professional services firms, providing consulting, audit, tax, risk advisory, financial advisory, and technology services to clients across more than 150 countries.
The company is widely recognized for delivering large-scale digital transformation projects involving:
- ☁️ Cloud Computing
- 🤖 Artificial Intelligence
- 📊 Data Engineering
- 📈 Business Intelligence
- 🔐 Cybersecurity
- 💻 Enterprise Applications
- 📦 SAP & Oracle Solutions
- 📉 Analytics & Data Modernization
⭐ Why This Opportunity Is Great for Experienced Professionals
These openings are ideal for professionals looking to move into enterprise consulting and work on high-impact projects.
Some major advantages include:
- ✅ Exposure to global enterprise clients
- ✅ Opportunity to work with modern Cloud & AI technologies
- ✅ Career growth into Architect and Leadership roles
- ✅ Excellent learning ecosystem with certifications
- ✅ Opportunity to work on Data Modernization projects
- ✅ Competitive compensation and performance bonuses
- ✅ Hybrid/Flexible work opportunities (role dependent)
- ✅ International project exposure
- ✅ Strong internal career mobility
💰 Expected Salary Range
Although Deloitte has not officially disclosed salary details, based on current market trends in India, the expected compensation may be:
| Experience | Expected Salary |
|---|---|
| 3–6 Years | ₹12–22 LPA |
| 6–10 Years | ₹20–38 LPA |
| 10–15 Years | ₹35–60+ LPA |
Note: Final salary depends on interview performance, current CTC, location, business unit, and relevant technical expertise.
🧑💼 Expected Interview Rounds
Most Deloitte technology hiring processes include the following rounds:
1️⃣ Resume Screening
- Relevant project experience
- Domain expertise
- Technical skill match
2️⃣ Technical Interview – Round 1
- Core technology questions
- Project discussions
- Scenario-based problem solving
- Architecture fundamentals
3️⃣ Technical Interview – Round 2
- Hands-on coding or design discussion
- Cloud architecture
- Data modeling
- Optimization techniques
- Best practices
4️⃣ Managerial Interview
- Leadership capabilities
- Client handling experience
- Communication skills
- Stakeholder management
5️⃣ HR Discussion
- Compensation
- Notice period
- Role expectations
- Location preferences
🛠 Skills Required
Depending on the role, candidates should have expertise in one or more of the following technologies:
☁️ Cloud Technologies
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
📊 Data Engineering
- Python
- SQL
- Spark
- Databricks
- Snowflake
- Data Warehousing
🤖 AI & Machine Learning
- Generative AI
- LLMs
- Machine Learning
- Prompt Engineering
- AI Architecture
📂 Data Governance & MDM
- Informatica MDM
- Reltio
- Collibra
- CDI
- CAI
- CDQ
📈 Analytics
- Oracle Analytics Cloud (OAC)
- Data Modeling
- Reporting
⚙️ General Skills
- Problem Solving
- Communication
- Agile Methodology
- DevOps
- Git
- CI/CD
- Documentation
📚 Preparation Tips
To maximize your chances of getting selected:
- ✅ Revise your core technology thoroughly.
- ✅ Prepare real project explanations with architecture diagrams.
- ✅ Practice SQL queries and optimization techniques.
- ✅ Review cloud fundamentals (AWS, Azure, or GCP).
- ✅ Understand system design concepts.
- ✅ Prepare scenario-based interview questions.
- ✅ Study Data Governance and MDM concepts if applying for related roles.
- ✅ Practice behavioral interview questions using the STAR method.
- ✅ Stay updated with recent AI and Cloud trends.
📄 Resume Tips
A strong resume can significantly improve your chances of getting shortlisted.
Include:
- ✅ Professional summary (4–5 lines)
- ✅ Total years of experience
- ✅ Technical Skills section
- ✅ Certifications
- ✅ Major projects
- ✅ Business impact
- ✅ Cloud platforms worked on
- ✅ Architecture experience
- ✅ Team leadership (if applicable)
- ✅ Client interaction
- ✅ Quantifiable achievements
Recruiters also prefer resumes that contain keywords like:
- Cloud Architecture
- Data Engineering
- Snowflake
- Databricks
- AWS
- Azure
- GCP
- Python
- Machine Learning
- GenAI
- Informatica
- Reltio
- Collibra
- SQL
- Data Governance
Keep your resume concise (preferably 1–2 pages), ATS-friendly, and tailored to the role you are applying for.
📨 How to Apply?
Interested candidates can DM to Sapan Kansal and share updated resume if their experience matches the job requirements.
- 📄 Updated Resume
- 👤 Full Name
- 📧 Email ID
- 📱 Mobile Number
- 💼 Relevant Skill/Role
- ⏳ Total Experience
- 📍 Preferred Location
- 📝 Notice Period
A well-crafted referral request with the exact role and your updated resume can improve your chances of getting noticed.
🎯 Final Thoughts
Deloitte’s latest hiring drive offers an excellent opportunity for experienced professionals specializing in Cloud, AI, Data Engineering, Machine Learning, Data Architecture, and Master Data Management. Whether you’re an experienced GenAI Engineer, Data Architect, Snowflake Expert, Databricks Architect, AWS Professional, or Informatica Specialist, these roles provide exposure to enterprise-scale digital transformation projects, excellent career progression, and competitive compensation. If your skills align with the listed technologies, update your resume, prepare for technical interviews, and apply as soon as possible to take the next big step in your technology career. 🚀
