Senior Principal, Data Engineering and Architecture

Slalom-posted 2 months ago
$110,000 - $189,000/Yr
Full-time • Senior
Atlanta, GA
5,001-10,000 employees
Professional, Scientific, and Technical Services
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As a modern technology company, Slalom technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and impactful business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.

  • Lead the design of multi-phased cloud data strategies, including developing multi-phased implementation roadmaps
  • Lead the creation of technology roadmaps based on gathered and prioritized business needs
  • Design and develop scalable data ingestion frameworks to transform a variety of datasets
  • Deliver on the technical scope of projects & demonstrate thought leadership at clients as well as within Slalom
  • Act as a Solution Lead or SME in the pursuit process, identifying appropriate SME from the broader Capability team as needed
  • Drive overall growth of the Data Engineering to our Clients through a combination of business development, solutioning, talent management, oversight of delivery work, and thought leadership
  • Data strategy and architecture - developing comprehensive approaches that align data initiatives with business objectives and designing scalable, future-proof data foundations
  • Conduct and lead whiteboarding sessions, workshops, and project meetings in support of data-enabled solutions
  • Prior consulting and leadership experience
  • Deep understanding of NoSQL databases such as Amazon DynamoDB, Cosmos DB, and MongoDB, including data modeling and consistency trade-offs
  • Experience with container management systems such as Amazon ECS to support scalable deployment of data services and microservices
  • Exposure to machine learning platforms, especially Amazon SageMaker, to support data science workflows and model deployment within the data architecture
  • Knowledge of real-time data ingestion and analytics using tools like Amazon Kinesis and Apache Kafka for building low-latency data systems
  • Proficient in designing dashboards and reports using Power BI, with an understanding of semantic modeling and performance optimization
  • Experience with modern data transformation workflows using dbt, including version control, testing, and deployment best practices
  • Familiarity with Master Data Management (MDM) solutions such as Ataccama, and data access control tools like Immuta for implementing role-based security and regulatory compliance
  • Meaningful time off and paid holidays
  • Parental leave
  • 401(k) with a match
  • Highly subsidized health, dental, & vision coverage
  • Adoption and fertility assistance
  • Short/long-term disability
  • Yearly $350 reimbursement account for well-being-related expenses
  • Discounted home, auto, and pet insurance
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