Manager, Data Engineering and Analytics

Responsibilities

• Owns the Solution Architecture and ensures best practices and internal processes are followed when solutions are designed and implemented
• Create and own standards and templates to streamline the data pipelines and engineering processes
• Collaborate with cross‑functional teams for effective management of the Data and Analytics environment
• Lead engineering teams in timely delivery of products working closely with product and stakeholders
• Manage identification of data sources, provide data flow diagrams, and document source‑to‑target mapping and process
• Effectively lead and collaborate with engineering and database teams respectively to manage the data warehouse performance by optimizing batch processing through parallelization, performance tuning, aggregations, etc.
• Recognize and adopt best practices in developing analytical insights including data integrity, analysis, test design, validation, and documentation
• Proactively promote data quality and security through recommended approaches and practices
• Create a collaborative environment where diversity of opinion is valued and encouraged
• Provide guidance and mentor team members
• Keep up with current data trends and technological innovations
• Execute on POCs with new technologies, drive innovation, and new ideas
• Other duties as assigned

• Bachelor's degree in Computer Science or related discipline, or equivalent field
• 10+ years of direct experience using databases, including Oracle, MySQL, SQL Server, or Redshift
• 10+ years of hands‑on experience developing with SQL, PL/SQL, SSIS, SSAS (Tabular), Power BI
• 10+ years of cloud architecture experience, preferably in AWS (Azure or Google will also be considered) with expertise in Python, PySpark, Glue, Athena, Lambda, and Step Functions
• Strong experience in Power Automate Architecture
• Ability and experience in leading teams
• Strong experience with business intelligence and data warehousing design principles and industry best practices including multi‑dimensional modelling (star schemas, snowflakes, de‑normalised models, handling slow‑changing dimensions)
• Experience with automation using but not limited to Java, C#, Python, Py Spark
• Strong understanding of data modelling (i.e., conceptual, logical and physical model design, experience with Operational Data Stores, Enterprise Data Warehouses and Data Marts)
• Expert knowledge on T‑SQL/DAX, Python, and microservice/cloud architectures/pipelines
• Knowledge of modern development techniques:
  Agile (Scrum, Kanban)
• Effective problem‑solving and analytical skills; ability to manage and prioritise multiple projects and report simultaneously across different stakeholders
• Strong communication skills, both verbally and written
• Strong work ethic and ability to work in a dynamic environment
• Empathetic leader with leadership skills
• Ability to learn and apply new technologies to business problems
• Ability to learn and adapt quickly to changing data landscape
• Ability to work on multiple projects and tasks with overlapping time frames and facilitate construction of a 90‑day forecast

The pay range is the lowest to highest compensation we reasonably, in good faith, believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors such as relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical, dental, vision insurance; HSA, FSA; 401(k); and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note:

Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified at Kforce's discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.