Data Analytics Cloud Architect

Job Description |Must Have Technical/Functional Skills

• 12+ years of experience in enterprise architecture with a focus on cloud data platforms
• Experience in handling multi-cloud platforms (either AWS/Azure, having experience on both will be good).
• Hands-on experience in architecture design, solution expertise, and implementations.
• 5+ Years of hand-on experience working on AWS Data and Analytics tool stack (S3, Glue, Athena, Lake Formation, EMR, Redshift, Kinesis, Open Search, and others) or Databricks to build repeatable and reusable frameworks for building Data and AI Solutions
• Experience with SaaS data platforms – Databricks/Snowflake on AWS
• Exposure in monitoring and optimizing cloud cost, governance, and security
• 5+ years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud).
• 5+ Years of Experience in Data Warehouses, Data Lakes and Data Modelling techniques using Erwin
• 5+ years of experience with data engineering and data pipelines for on-prem cloud, hybrid data models and data warehouses.
• 5+ Years of coding experience with Python, Spark, R, SQL, or other equivalent programming languages etc
• 3+ Years of experience implementing Data quality and observability solutions across the enterprise
• Proficiency in Databricks for data engineering and analytics workloads
• Experience in data security and user access model
• Performance optimization of EMR to fine tune the Spark configurations and runtime
• Strong knowledge of Cloud centric architecture and data sharing capabilities.

Roles & Responsibilities

• Design and implement scalable Lakehouse architecture on AWS using EMR and Databricks.
• Execute the strategy to build highly reliable and scalable data and analytics platforms to ensure the business requirements are met
• Create and implement repeatable and reusable frameworks for delivering Data and AI solutions
• Establish architecture best practices, along with comprehensive standards and guidelines, to ensure adherence across the organization
• Design and implement Self-Service frameworks that empower business units to develop solutions in compliance with enterprise standards, promoting autonomy and innovation
• Develop Cloud economics frameworks that effectively monitor and analyze cloud costs at every level, driving informed financial decision-making
• Experience in consolidating legacy platforms into a single platform for achieving single source of truth
• Experience with large scale implementations with a focus on Organizational change management and reducing Technology Debt
• Define centralized governance using unity catalog to manage multi cloud environments.
• Conduct hands-on Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) to address critical capability needs, facilitating effective decision-making processes
• Collaborate with data engineers, data scientists, and business stakeholders to align architecture with business goals.