Delivery Consultant - Data, WWPS ProServe Data and Machine Learning

About This Role

This role is for a data engineering and architecture specialist who will provide technical design and thought leadership for cloud data applications, working with a world-class team serving federal, state, local government, and national security customers. You will design, build, and optimize data architectures and platforms to help organizations achieve their missions through data-driven decision making. The position offers the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry across enterprise data architecture.

Responsibilities

• Help clarify customer business outcomes during project discovery and translate them into data architecture and engineering solutions
• Design and build data analytics applications that are secure, scalable, reliable, performant, and cost-effective
• Collaborate with stakeholders to gather requirements, assess current infrastructure, and propose effective data migration and modernization strategies
• Identify, mitigate, and communicate risks related to solution and service constraints by making informed technical trade-offs
• Act as a trusted advisor to customers on industry trends, emerging data technologies, and innovative solutions
• Share knowledge within the organization through mentoring, training, and creating reusable artifacts

Requirements

• Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
• 3+ years of database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
• Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code
• Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning
• Current, active US Government Security Clearance of Top Secret or above

Nice to have:

• Experience building data platforms with AWS services such as Glue, Lake Formation, Athena, Kinesis, and Lambda
• Experience with CI/CD automation (CDK or Terraform), physical data modeling (Dimensional, Data Vault), and data pipeline optimization
• Experience leading end-to-end data engineering projects including migrating on-premises data applications to cloud-native architectures
• Experience interfacing with customers at different organizational levels to translate requirements into scalable data architectures
• Knowledge of security and compliance standards (e.g., FedRAMP, NIST, HIPAA)

Benefits

• Sign-on payments and restricted stock units (RSUs)
• Comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)