Deloitte’s Technology \& Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact\-driven decision\-making and generate an insight\-driven advantage. Our practice addresses the continuum of opportunities in business intelligence \& visualization, data management, performance management and next\-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
*Your work profile**
The Lead Solution Architect is responsible for leading end\-to\-end architecture, design and solutioning for enterprise\-scale cloud transformation and data modernization initiatives in the BFSI domain, with a strong focus on AWS cloud\-native platforms, Databricks and modern data architecture.This role works closely with business stakeholders, product owners, engineering teams, enterprise architects, DevOps teams and client stakeholders to translate business requirements into scalable, secure, resilient and cost\-effective technical solutions.
*Key Skills \& Competencies**
Lead end\-to\-end architecture, design and solutioning for enterprise\-scale cloud transformation and data modernization initiatives in the BFSI domain.
Design scalable, secure, resilient and high\-performing cloud\-native architectures on AWS.
Collaborate with business stakeholders, product owners, engineering teams and enterprise architects to translate business requirements into technical solutions.
Define architecture standards, best practices, governance models and reusable frameworks for AWS and Databricks\-based data platforms.
Cloud and architecture: AWS cloud architecture, distributed systems, enterprise solution architecture, cloud\-native design and architecture governance.
AWS technology stack: AWS Glue, Amazon S3, AWS Lambda, AWS Lake Formation, Amazon Athena and Amazon EventBridge.
Databricks skills: Databricks lakehouse architecture, Databricks workflows, Spark processing, notebooks, clusters and production data engineering patterns.
Data engineering and big data: PySpark, Spark DataFrames, RDDs, SparkSQL, Hadoop ecosystem and distributed data processing.
Modern data platforms: Enterprise data lake, lakehouse, data warehouse, modern analytics architecture and data integration design using AWS and Databricks.
Database and SQL: Advanced SQL, PL/SQL, Amazon Athena, AWS Glue Catalog and enterprise data warehouse concepts.
DevOps and CI/CD: GitLab Actions or similar CI/CD tools, Infrastructure\-as\-Code, automated deployment and release management.
BFSI domain alignment: Security, regulatory, governance, data privacy and compliance\-oriented architecture design.