Databricks Solutions Architect Senior Manager

Protiviti•Minneapolis, MN
•$137,000 - $238,000•Hybrid

About The Position

Protiviti is seeking a Technology Consulting Senior Manager to join its growing Enterprise Data & Analytics team. The role partners with clients to identify and manage risk, develop strategies for complex business problems, and design and deliver modern data engineering solutions using Databricks and related tools. The Senior Manager builds client relationships through quality delivery, represents Protiviti in the business community, and contributes to business development and client proposals. The position oversees project work plans and teams, provides mentoring and performance development, and fosters open communication and a positive team culture. The role includes advising clients on data strategy, architecture, engineering, governance, security, migration, optimization, and modern data platforms. The position follows Protiviti’s hybrid workplace model, combining in-person work at local offices and client sites with remote work; travel may be local or out of state depending on project and client needs.

Requirements

  • Bachelor’s degree in a relevant discipline, such as MIS, CIS, or Analytics.
  • At least 7 years of experience working in professional services or a related industry.
  • Required professional Databricks certification: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional.
  • Experience articulating Databricks capabilities and using data storytelling to guide decision-making.
  • Experience formulating, communicating, and executing data strategies aligned with organizational goals.
  • Experience assessing existing on-premises or cloud data solutions and architecting future-state solutions using Databricks-aligned Well-Architected Frameworks.
  • Experience planning and migrating data solutions from on-premises environments, other cloud platforms, or legacy systems to Databricks.
  • Proficiency implementing ETL processes and databases, and significant experience optimizing pipelines, queries, and data models.
  • Knowledge of administering data solutions for stability, security, scalability, and affordability.
  • Strong data engineering skills, including data movement, integration, transformation, and cleansing.
  • Ability to lead the design, management, and optimization of data warehousing or modern data platforms.
  • Strong data modeling skills, including entity-relationship, dimensional, and semantic modeling.
  • Ability to perform exploratory data analysis and derive actionable insights.
  • Experience implementing data governance frameworks and policies, including managing data assets with Unity Catalog.
  • Understanding of data security practices, including encryption and access control.
  • Knowledge of networking as it applies to configuring Databricks on-premises or in cloud solutions.
  • Understanding of DevOps or DataOps concepts and experience deploying Databricks solutions.
  • Expertise in SQL and Spark, including PySpark and Spark SQL.
  • Competency with at least three and exposure to most of the following: Databricks Lakehouse architecture and medallion design patterns; Unity Catalog; Apache Spark and Delta Lake; Auto Loader, Lakeflow Declarative Pipelines, and workflow orchestration; Databricks Asset Bundles, Git integration, CI/CD, and environment promotion; Databricks SQL, serverless compute, query optimization, and performance tuning.
  • Experience establishing business relationships and professional networks, pursuing business development opportunities, and identifying strategies to obtain new work.
  • Leadership and direct supervisory experience, including performance appraisals, mentoring, coaching, work oversight and review, coordination across teams, and motivating team members.

Nice To Haves

  • Databricks Champion certification or designation.
  • Familiarity with programming languages such as C#, Java, Scala, R, DAX, MDX, or M.
  • Experience with data science and/or machine learning.
  • Experience with Mosaic AI, MLflow, model serving, and generative AI capabilities.

Responsibilities

  • Partner with clients to identify and manage risk and develop strategies for complex business problems.
  • Design and deliver modern data engineering solutions using Databricks and related technologies.
  • Develop lasting client relationships through high-quality delivery and serve as an ambassador of Protiviti in the market.
  • Oversee successful completion of project work plans and manage project deliverables.
  • Mentor team members, provide performance development, and conduct or support performance appraisals, coaching, and review of work.
  • Foster positive team culture, open communication, and collaboration across engagement teams.
  • Contribute to client proposals, business strategies, and efforts to win new business.
  • Assess existing data solutions and plan or execute improvements and migrations to Databricks.
  • Architect, implement, administer, and optimize data platforms, data pipelines, databases, and data warehousing solutions.
  • Support data governance, security, deployment, and operational practices for client solutions.
  • Build business relationships and professional networks, including with senior executives, and identify opportunities to obtain new work or clientele.
  • Translate and communicate issues, risks, and challenges to client personnel, including executives.

Benefits

  • Annual bonus plan with eligible employees offered additional cash and/or discretionary stock compensation opportunities; the stated bonus target opportunity is 14%.
  • Medical, dental, and vision coverage.
  • Flexible spending and health savings accounts.
  • Life and accident insurance.
  • Adoption and fertility assistance.
  • Paid parental leave of up to 10 weeks.
  • Short- and long-term disability coverage.
  • Company 401(k) savings and investment plan with a 50% employer match on the first 6% of employee contributions.
  • Choice Time Off for vacation, personal needs, and sick time; new hires receive up to 20 days per calendar year, with amounts varying by years of service.
  • Up to 11 paid holidays per calendar year.
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