Sr. Delivery Consultant- Data, WWPS ProServe Data and Machine Learning

About the role

As a Delivery Consultant specializing in Data Engineering & Architecture, you will provide exceptional 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 that help organizations achieve their missions through data-driven decision making. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry across the breadth of enterprise data architecture.

Responsibilities

• Helping clarify customer business outcomes during project discovery and translating them into data architecture and engineering solutions
• Designing and building data analytics applications that are secure, scalable, reliable, performant, and cost-effective
• Collaborating with stakeholders to gather requirements, assess current infrastructure, and propose effective data migration and modernization strategies
• Identifying, mitigating, and communicating risks related to solution and service constraints by making informed technical trade-offs
• Acting as a trusted advisor to customers on industry trends, emerging data technologies, and innovative solutions
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Requirements

• Bachelor's degree in computer science, engineering, mathematics or equivalent
• 5+ years of database (eg. 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

Qualifications

• 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)

Skills

Not specified

Benefits

Not specified

Pay

Base salary range: $153,600.00 - $207,800.00 USD annually

Schedule

Customer-facing role. Work from one of the listed locations (or customer sites) Monday through Friday each week. Travel to client locations to deliver professional services may be required. Not a remote position.