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Sr. Data Architect

Jersey City, NJ, United States

About the job Sr. Data Architect

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

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