Sr. Data Architect

6 months ago


Jersey City, United States Inizio Partners Full time

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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