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AWS Data Architect - Hybrid
AWS Data Architect - HybridTEKsystems • Phoenix, AZ, US
AWS Data Architect - Hybrid

AWS Data Architect - Hybrid

TEKsystems • Phoenix, AZ, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]
  • Our client, who is an established start-up, is engaging with TEKsystems to build a small team of data engineers and data analysts to work alongside their team on a highly important C-Level effort. This project team will help our client complete root cause analysis, investigation and determine fixes to their products. *
  • AWS Data Architect*
  • The Data Architect will help our customer create a data strategy involving a complex manufacturing problem that can be found within 10tb of unstructured data. In addition, the Data Architect will likely to be extended to help design a data program / solution.

    • Responsible for the architecture of an AWS data solution and work with the data team to estimate, plan, design, and deliver data solutions.
    • Responsible for designing, documenting, and implementing the components, data, and layers required for complex cloud data implementations based on requirements and design specifications.
    • Mentors and coaches other team members in design, coding, and data engineering practices.
    • Understands the architectural direction and standards of the organization and helps to ensure that the team adheres to them appropriately.
    • Participates in all phases of the cloud data solutions from initial requirements gathering to delivery.
    • Required Skills : *
    • 5 years prior experience working as a Senior Data Engineer and 2+ years as Data Architect.
    • Advanced / expert level with ETL and or Airflow.
    • Able to use PySpark and or Glue (cloud equivalent).
    • Python - v3+.
    • Web frameworks like Flask and Django.
    • Familiar with common tools and best practices like pip, black and pep8.
    • AWS cloud.
    • Ability to develop and maintain complex data pipelines.
    • Design data processing tools for rapid analysis of datasets by analysts from non-software related backgrounds.
    • Ability to work with massive and complex timeseries datasets

    Design and develop technical solutions to satisfy complex requirements.

    • Investigates and resolves complex application and system technical problems and production issues through troubleshooting techniques.
    • Continually improves operations and infrastructure by conducting complex systems analysis and recommending changes in policies, procedures or computing components.
    • Follows written risk and compliance policies, standards, and procedures for business activities.
    • Identifies and manages existing and emerging risks that stem from business activities and the job role.
    • Additional Preferred Skills : *
    • Self-starter, team-player, and a collaborative personality.
    • Ability to work with little or no supervision.
    • Excellent organization skills.
    • Preferably a background in a production or manufacturing related field.
    • Excellent communication skills (verbal / written)

    The Data Architect will need to be located in the Phoenix market and will work on-site collaboratively with the core project team. Position could go longer and could turn into a full-term conversion for the right candidate. On site minimum of 3 days a week, normal business hours, casual attire, fast paced, startup organization.

    About TEKsystems :

    We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

    The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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