Technology and Transformation - EAD - ADMM - Delivery Lead - Manager

Your potential, unleashed.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.

The Team

Key Responsibilities

• Architect and implement scalable, secure, and high-performance solutions across data, AI, and cloud platforms.
• Lead the design and development of

  Customer Data Platform (CDP)

  environments integrating multiple data sources.
• Define, implement, and enforce

  data architecture standards

  , governance, and best practices.
• Drive

  MLOps strategy

  , including model deployment, monitoring, and lifecycle management.
• Collaborate with engineering, product, and business teams to translate requirements into robust technical solutions.
• Establish and maintain

  CI/CD pipelines

  and DevOps best practices across environments.
• Provide guidance on

  microservices design

  , containerization, and orchestration.
• Implement

  data governance and privacy frameworks

  aligned with GDPR, HIPAA, and enterprise standards.

Technical Skills Competencies

Data CDP Architecture

• Proven experience designing and implementing

  CDP solutions

  .
• Strong understanding of

  data modeling

  ,

  data lakes

  , and

  real-time data processing

  .
• Hands-on experience with:
• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake Gen2
• Databricks (Spark, Delta Lake, MLflow)

Programming Data Engineering

• Proficiency in

  Python

  and

  PySpark

  for data processing and ML development.
• Experience with

  distributed computing

  and

  performance optimization

  .

Cloud DevOps

• Deep expertise in

  Azure Cloud Services

  (IaaS, PaaS, SaaS).
• Hands-on experience with

  Azure DevOps

  ,

  CI/CD pipelines

  , and

  Infrastructure as Code

  (ARM/Bicep).
• Familiarity with

  Git

  , automated testing, and deployment strategies.

AI/ML MLOps

• Experience with

  Azure Machine Learning

  for model training, deployment, and monitoring.
• Knowledge of

  MLOps tools

  and practices (MLflow, AutoML, model governance).
• Familiarity with ML libraries such as

  scikit-learn

  ,

  TensorFlow

  , and

  PyTorch

  .

Microservices Architecture

• Expertise in

  microservices design and implementation

  using REST/gRPC.
• Proficiency in

  containerization (Docker)

  and

  orchestration (Kubernetes / AKS)

  .
• Experience with

  API Gateway

  ,

  service mesh

  , and

  security best practices

  .

Note: A valid passport is mandatory before joining Deloitte India.

• How you ll grow

Connect for impact

Empower to lead

Inclusion for all

Drive your career

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