Deloitte - Arlington, VA

posted 4 months ago

Full-time - Senior
Arlington, VA
10,001+ employees
Professional, Scientific, and Technical Services

About the position

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace. As a Specialist Leader cloud architect, you will be responsible for designing and maintaining the systems and data architecture. This includes ensuring that both the current (as-is) and future (to-be) states are fully documented, which encompasses data exchanges, relationships, data sources, and attributes. You will lead large-scale data modernization and data migrations in an AWS/Snowflake environment, mentoring junior data engineers and driving project deliverables and timelines. Additionally, you will interface with clients onsite, which may require up to 50% travel in the DC metro area. Deloitte's Government and Public Services (GPS) practice is designed for impact, serving federal, state, and local government clients as well as public higher education institutions. Our team of over 15,000 professionals brings fresh perspectives to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. The GPS AI & Data Engineering (AI&DE) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data to advance and enable key mission outcomes for our clients. Our team supports all phases of analytic work product development, from identifying key business questions through data collection and ETL, to performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to deliver insights to decision-makers. We pay special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.

Responsibilities

  • Design and maintain systems and data architecture.
  • Document current (as-is) and future (to-be) states, including data exchanges, relationships, data sources, and attributes.
  • Lead large-scale data modernization and data migrations in an AWS/Snowflake environment.
  • Mentor junior data engineers and drive project deliverables and timelines.
  • Interface with clients onsite up to 50% in the DC metro area.

Requirements

  • 15+ years professional experience in systems/cloud engineering.
  • Bachelor's degree required.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Eligibility to obtain a US Secret security clearance required.
  • 10+ years experience in enterprise-wide systems, operational data architecture design, ETL, database architecture, developing capabilities and requirements.
  • 4+ years experience completing networking and security configurations for the AWS environment and the Snowflake environment and between the two environments.

Benefits

  • Broad range of benefits offered to employees.
  • Opportunities for professional development and mentorship.
  • Inclusive culture that values diverse perspectives.
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