Data Architect - Washington, United States - Gridiron IT

Gridiron IT Washington, United States

3 weeks ago

Description

GridIron IT is seeking a Data Architect to work on a 100% remote basis.

As a Data Architect, you will play a role in designing and bringing to market a next-generation, Provider Data Management solution.

In this position, you will own and develop the data engineering architecture, design and implementation of big data platforms and analytics solutions in a cloud or hybrid environment to empower customers to solve problems through self-service frameworks.

What you will do:

Own and develop data engineering architecture, design and implementation of big data platforms and analytics solutions in cloud or hybrid to empower customers to solve problems through self-service frameworks
Advise clients and internal teams on leading cloud practices and architectural approaches
Define technical direction and roadmap for SaaS data product and managing the implementation and technical solutions
Develop and coordinate cloud architecture across diverse areas including application development, identity and access management, network, and data management, and security
Conceptualize and implement foundational data models, Data Lake, ETL pipelines and curated layer servicing multiple reporting platforms
Act as a subject matter expert to leadership for technical guidance, solution design and industry best practices related to data architecture and migration patterns
Be a technical leader to junior engineers, ensure the team is being challenged, expose your team to new opportunities, while still being able to deliver ambitious goals.
Keep current on data engineering and data visualization technology trends, evaluate, work on proof-of-concept and make recommendations on cloud technologies

What You Have:

5+ years of Data Architecture experience and 10+ years of total experience working in partnership with large data sets
Solid experience, preferably as a lead or an architect, designing and implementing DW Architectures, OLAP technologies, data modeling, star/snowflake-schemas, Change Data Capture, BI visualization
Experience building data as a product in a cloud environment (SaaS)
Experience designing data solutions within cloud platforms such as AWS, GCP or Azure platform using technologies such as Postgres, Kafka, Redshift, Informatica or similar
Hands-on experience with big data ETL technologies like Hadoop, Spark; and experience working with query engines like Presto, Snowflake, or other open-source big data Query & ETL engines.
Advanced SQL and programming experience with Python and/or Scala
2+ years of experience leading or mentoring technical teams.
Great problem-solving capabilities, troubleshooting data issues and experience in stabilizing big data systems
Strong business acumen, critical thinking, and ability to work cross functionally through collaboration with engineering and business partners.
Excellent communication and presentation skills as you will be regularly interacting with stakeholders and engineering leadership.
Bachelor's or master's in quantitative disciplines such as Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, or other scientific fields.

Nice to have:
Experience with real-time data streaming tools like Kafka, Kinesis, Apache Storm, or any similar tools

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