Sr. Data Architect
About The Position
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
Requirements
- 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
- 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
- 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
Nice To Haves
- AWS Solutions Architect or AWS Big Data Certification preferred
- Experience in insurance preferred but not mandatory.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
