Role Overview: • Expected to work in close collaboration with the internal team and client on data transformation, data engineering and data technology projects • Work with client to understand company needs to define architecture and build data solutions • Plan and design the structure of a technology solution • Understanding of strategic data and IT solutions • Evaluate and select appropriate software or hardware and suggest integration methods • Ensure the implementation of agreed architecture and infrastructure • Familiarity with various operating systems (e.g. Windows, UNIX) and databases (e.g. MySQL, DB2, SQL Server, Oracle, DynamoDB, MongoDB, Redshift etc.). Familiarity with SFTP tools. • Doing independent research, analyze, and present capabilities and alignment with current solution • Experience in cloud technologies (PaaS, IaaS, SaaS, AWS, Azure, IBM Cloud etc.) • Managing the learning and development of new team members • Identify and participate in continuous improvement initiatives • Ensure compliance with Data Privacy and Protection Guidelines • Participate in business development activities • Experience in insurance preferred but not mandatory. Key Responsibilities & Skillsets: • Common Skillsets: • 10+ years of experience as Technical Architect/Data Architect • Expertise in building solution architecture, data pipelines, technical workflows • Excellent communication & presentation skills with consultative mindset • Should be able to lead team independently and prepare/manage client ready deliverable • Able to understand cross cultural differences and can work with clients across the globe • Data Management Skillsets: • Strong familiarity with data engineering principles, architectures, pipeline design and cloud technologies. Must have experience working and building architecture/pipelines on AWS. • Strong and in-depth understanding of Data Engineering Fundamentals • Solid and in-depth knowledge of Cloud data management (AWS services) • Good knowledge of database management and SQL, Informatica, Hadoop/Spark, and ETL tools. • Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is mandate • Should have strong grasp of advanced SQL functionalities (Partitioning, CTE, Schemas, Architecture etc.) • Strong ability to translate functional specifications / requirements to technical requirements • Experience with AWS technologies including AppSync, Lambda, Step Functions, Event Bridge. • Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/Spark, RDS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. • Knowledge of modern cloud native data warehouses i.e., AWS Redshift, Snowflake or Azure Synapse Analytics. • Experience implementing metadata solutions leveraging AWS non-relational data solutions such as Elastic Cache and DynamoDB. Candidate Profile: • Bachelors/master's degree in computer science/engineering • Expertise in AWS • Data/Technical Architect experience is mandatory • AWS Solutions Architect or AWS Big Data Certification preferred • Analytical and problem-solving skills • Outstanding written and verbal communication skills • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges