Senior Data Architect in Sacramento, CA at SBM Site Services

Date Posted: 8/1/2020

Job Snapshot

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Job Description

The Data Architect is a leader who understands and has built data centric technology architectures that provide governed, clean and accessible data services to a diverse community of business users, platforms and systems.

This highly visible position will be at the front and center as we work to continuously modernize our platforms and change the way we think about and apply data in solutions across our architecture. A successful candidate for this position must possess both a deep and wide background in data technologies spanning both solutions built on traditional (RDBMS) and non-traditional (NoSQL) platforms. This is a leader in the design of modern data who will enable our company by providing innovative and creative solution design, testing new tools and ensuring governance and accuracy. The Data Architect will ensure that all tools, technologies and solutions are effortless for our reporting teams, corporate analytics teams, data gurus and corporate leaders.

As a key member of the architecture team, the candidate should be comfortable with driving technical ideas and communicating clearly with technical as well as non-technical audiences.

Responsibilites : 
  • Drive the inception of new and innovative designs, components, processes, methods and concepts into production and be responsible for clearly articulated design, architects and technology deliverables
  • Proactively research new technologies and tools and processes to drive the roadmap of delivery with planning and clear business value drops
  • Define, Communicate and coordinate all necessary project and program information that supports on time activation for all assigned projects.
  • Lead the proper solutioning and engineering to achieve business goals, facilitate the development of new insights and goals for our business partners
  • Take ownership for the entire development process for assigned product lines, with an emphasis on quality, agile development and timely completion of all tasks in accordance with the applicable operating calendar
  • Establish and maintain strong working relationships with all reporting departments
  • Must excel at organizational tasks and superb communication are a must, good collaborator with a real focus on delivery and experienced with complex transition management environments
  • Executive level design leader with demonstrable ability through experience to influence leadership in matrixed organizations using design principles, clear accountability in decisioning and outstanding documentation.


Bachelor’s Degree in computer science, data science, data analytics, or related field

Master’s degree in CS or MBA preferred

8+ years of demonstrated professional experience with data analytics

10 + years of relevant professional experience

10+ years of data analytics experience

3+ years supervisory or managerial experience

Power BI experience or Tableau experience a plus

Data Analytics or Business Intelligence Certifications

Extensive experience with technology, solution architecture, and data practices, must have experience with modern cloud architectures for data as a service, integration, sourcing, and API delivery.

Deep Experience with solution specification and design as well as agile delivery at a large, global multinational corporation with distributed teams.

Expert level technology consulting and deep understanding of design and architecture of analytics and reporting systems

Exposure to the latest in tools, technologies, components, processes, and concepts in the data-driven insights world – CDP, Big Data technologies with exposure to the pragmatic use of AI/ML

Gaining an understanding of our Current State and then defining the Target State Architecture and Strategy.

Drive towards adoption of the target state architecture by executing on the strategy. Must possess the leadership qualities necessary to drive change and adoption of the strategy.

Develop Architectures for highly scalable and fault-tolerant applications using the right mix of technologies, platforms and tools.

Provide technical and architectural oversight for systems and projects that are required to be reliable, massively scalable, highly available (99.999% uptime), and maintainable.

Introduce best practices and principles to enable consistent delivery and enable alignment with long-term direction.

Lead and mentor other team members.

Foster development best practices within the team and to both identify and drive process improvements across the data landscape with the support and help of engineering and product management.