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    Data Architect - Jersey City, United States - Acunor

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    Description

    Acunor is seeking a Data Architect specializing in AWS technologies. This is a full-time hybrid opportunity located in Jersey City, NJ. Interested candidates are encouraged to apply with their most recent resume to

    Position: Sr. Data Architect

    Location: New Jersey (Hybrid)

    Full Time position

    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

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