Sr. Data Architect

• 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.

DataArchitect Data Modeling Tool, Needs Assessment, MongoDB, Unix Operating Systems, IBM DB2, Microsoft Windows Operating System, MySQL, Operating Systems, Secure/SSH File Transfer Protocol (SFTP), Oracle Database, + 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., * 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