Data Architect

Found in: Appcast Linkedin GBL C2 - 3 weeks ago

Jersey City, United States Acunor Full time

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 saikumar.m@acunor.com.


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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