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Senior / Lead Cloud and Data Architect

Senior / Lead Cloud and Data Architect

ConfidentialPune, Mumbai, Noida
30+ days ago
Job description

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 , providing guidance and alignment across diverse teams and initiatives.

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.
  • Act as the central technical point of contact for enterprise-wide data and analytics initiatives, ensuring alignment with business objectives.
  • Collaborate with senior leadership and business stakeholders to define and deliver on data strategy, ensuring scalability and alignment with enterprise goals.
  • Mentor and upskill team members, providing guidance on best practices, emerging technologies, and professional development.

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 while adhering to governance and compliance requirements.
  • Provide strategic input on technology roadmaps, ensuring alignment with organizational vision and future-proofing investments.
  • Evaluate and recommend emerging technologies and frameworks to enhance enterprise data capabilities.
  • 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.
  • Lead the development of end-to-end data pipelines, ensuring robust integration between data sources, platforms, and analytics tools.
  • 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.
  • Enable seamless integration of ML and analytics into business workflows, enhancing decision-making and operational efficiency.
  • Data Warehousing and Modeling :

  • Architect enterprise data warehouses with robust data models, ensuring high performance and reliability for analytics workloads.
  • Lead the development of advanced data models that cater to both analytical and operational requirements, emphasizing scalability and data quality.
  • DevOps and DataOps Practices :

  • Establish and enforce DevOps and DataOps pipelines to automate deployments, enhance agility, and ensure operational excellence.
  • Drive initiatives for continuous improvement in data delivery, ensuring high availability, data quality, and scalability.
  • Governance, Security, and Compliance :

  • Define and enforce data governance policies, including data security, lineage, and compliance with industry regulations.
  • Implement robust security measures to protect sensitive data across platforms, adhering to privacy standards such as GDPR and CCPA.
  • Qualifications :

    Education and Experience :

  • Education : Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
  • Experience :
  • o       10+ years in data architecture, cloud platforms, and advanced analytics.

    o       Hands-on experience with at least two cloud platforms ( AWS , Azure , or GCP ) is mandatory.

    o       Expertise in Databricks or Snowflake is required.

    o       Comprehensive understanding of data warehousing , data modeling , and data integration .

    o       Experience implementing ML pipelines or integrating ML solutions with enterprise systems.

    o       Proven track record in enterprise architecture, aligning technology solutions with business goals.

    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.
  • Deep understanding of big data frameworks, distributed systems, and real-time processing.
  • Experience with DevOps tools like Terraform , Kubernetes , or CI / CD platforms.
  • Leadership Skills :

  • Strong strategic thinking with the ability to define and execute large-scale data and cloud strategies.
  • Exceptional communication skills to engage with both technical and non-technical stakeholders.
  • Proven ability to lead diverse teams across geographies and time zones, ensuring high performance and cohesion.
  • Capable of making data-driven decisions while managing competing priorities and deadlines.
  • Preferred Qualifications :

  • Certifications in AWS, Azure, GCP, Databricks, or Snowflake.
  • Experience working in enterprise-scale environments with complex data landscapes.
  • Exposure to industry-specific data challenges in domains like finance, insurance, or healthcare.
  • Skills Required

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