AWS Data Architect // Fully Remote role

We are hiring for AWS Data Architect for our direct client.

Title : AWS Data Architect
Required Skills : AWS Data Architect with ETL, Databricks, Medallion Work location : Its Fully Remote role
Client is seeking a Senior Data Architect to join the team responsible for establishing and maintaining an adaptable data infrastructure to provide access to high quality, consistent data in an easy and convenient manner to all authorized end users and applications of client and its subsidiaries. The Senior Data Architect is responsible for leading the development and delivery of data products, managing the flow of work using Kanban and / or SAFe Agile methodologies, and designing and implementing data architecture solutions to support business objectives.
You will
Responsible for defining and prioritizing the team backlog, identifying and managing stakeholders, and ensuring that the team delivers value to customers.
Work with Head of Data Architecture to collaborate with stakeholders to define requirements and set priorities with the team.
Lead the implementation of data software development methodologies, including designing and implementing visual workflows, managing work-in-progress limits, and optimizing the flow of work through the system.
Work with an agile team to deliver and evolve data engineering & services.
Collaborate with team members, IT colleagues and business partners to ensure functional and business specifications are converted into flexible, scalable, and maintainable data solution designs.
Perform data analysis activities including data profiling, creation of data dictionaries, data transformation rules and integration requirements. Design, deliver, and document multi-platform architecture with a focus on data architectural standards, growth, performance, flexibility, reliability, scalability, and security.
Develop, document, and maintain logical and physical data models for supported applications.
A self-starter who is fueled by collaboration, able to transform conceptual designs into reliable, scalable processes that meet or exceed customer needs. An individual who works closely with IT and business leaders across the enterprise to drive and embed the Enterprise Data Strategy into transformational roadmaps ensuring key principles of Data Governance, Data Management, Data Analytics and Architecture are implemented.

You have
15+ Years of IT experience, with 10+ years of experience as a Data Architect, data engineer or other data professional Solid grasp of data architecture principles, patterns, data modeling and data governance. Knowledgeable on best practices to managing data in large environments. Expert Relational database concepts and experience across multiple database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Postgres) environments. Expert Proficiency in data modelling tools -- preferably Erwin and strong Logical and Physical Data Modelling experience
Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects. Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Demonstrated expertise with data sourcing, profiling, data mapping and data analysis. Strong SQL, PL/SQL experience and skilled in creating and optimizing queries and data structures.
Knowledge of ETL concepts, preferably Informatica or Syncsort
Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem. Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
Thanks and Regards,
Ankit Grover Sr. Executive - TA
Iris Software
200 Metroplex Drive, Suite #300, Edison, NJ 08817
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