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Country/Region:  IN
Requisition ID:  21247
Work Model: 
Position Type: 
Salary Range: 
Location:  INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Title:  Cloud and Data Architect

Description: 

Area(s) of responsibility

Senior/Lead Cloud and Data Architect

Position Overview

Birlasoft is seeking a visionary Senior/Lead Cloud and Data Architect with proven leadership capabilities to drive enterprise-level data solutions. The ideal candidate will have expertise in cloud platforms (AWS, Azure, or GCP), mandatory experience in Databricks or Snowflake, and a strong foundation in data warehousing, data modeling, DevOps, and DataOps. Additionally, the role demands a strategic leader with an understanding of machine learning (ML) concepts and the ability to function as an Enterprise Architect.

Key Responsibilities

Leadership and Collaboration:

  • Lead and inspire cross-functional teams, including data engineers, data scientists, ML engineers, and BI analysts, fostering a culture of collaboration, innovation, and continuous improvement.

Enterprise Architecture:

  • Develop and maintain enterprise-level architectural blueprints for cloud and data platforms, ensuring interoperability and scalability.
  • Create a cohesive architecture that integrates data platforms, ML systems, and business intelligence tools.

Cloud and Data Platform Engineering:

  • Design and implement cutting-edge cloud architectures using AWS, Azure, or GCP, focusing on scalability, security, and cost optimization.
  • Build and optimize modern data platforms using Databricks or Snowflake for advanced analytics and real-time data processing.

Data and ML Integration:

  • Collaborate with ML teams to deploy machine learning pipelines and operationalize AI models within enterprise systems.
  • Provide architectural support for ML initiatives, including data preparation, feature engineering, and model lifecycle management.

Data Warehousing and Modeling:

  • Architect enterprise data warehouses with robust data models, ensuring high performance and reliability for analytics workloads.

DevOps and DataOps Practices:

  • Establish and enforce DevOps and DataOps pipelines to automate deployments, enhance agility, and ensure operational excellence.

Governance, Security, and Compliance:

  • Implement robust security measures to protect sensitive data across platforms, adhering to privacy standards such as GDPR and CCPA.

Qualifications:

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • Experience: 
    • 11+ years in data architecture, cloud platforms, and advanced analytics.
    • Hands-on experience with at least two cloud platforms (AWS, Azure, or GCP) is mandatory.
    • Expertise in Databricks or Snowflake is required.
    • Comprehensive understanding of data warehousing, data modeling, and data integration.

Technical Skills:

  • Proficient in programming languages such as Python, SQL, or Scala.
  • Familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn is a plus.
  • Experience with DevOps tools like Terraform, Kubernetes, or CI/CD platforms.

Preferred Qualifications:

  • Certifications in AWS, Azure, GCP, Databricks, or Snowflake.

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