Data Architect

Role Overview:

Expected to work in close collaboration with the Client 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)
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 ElasticCache and DynamoDB.
Good knowledge of data base 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

Candidate Profile:

Bachelor’s/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