Databricks Solutions Architect Senior Manager

Protiviti • Minneapolis, MN

11d • Hybrid

About The Position

Protiviti is seeking a Technology Consulting Senior Manager for its growing Enterprise Data & Analytics team. The role partners with clients to identify and manage risk, develop strategies for complex business problems, and deliver solutions using current tools and methods. The Senior Manager builds lasting client relationships through quality delivery, represents Protiviti in the business community, mentors and develops teams, and oversees successful completion of project work plans.

The position focuses on designing and delivering modern data engineering solutions with Databricks. It involves shaping data strategy and architecture, assessing and migrating existing data solutions, implementing and optimizing data platforms, and supporting governance, security, analytics, and DevOps/DataOps. The Senior Manager also contributes to proposals and business development, develops client and professional networks, and leads teams across a diverse portfolio of industries.

The role follows Protiviti’s hybrid workplace model, combining in-person work in local offices or at client sites with remote work. The balance depends on client, project, team, and business needs; local or out-of-state travel may be required. The salary range is $140,000–$224,000, with a 14% bonus target opportunity. The estimated total cash range is $159,600–$255,360.

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 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.
• High proficiency implementing ETL processes and databases with Databricks or complementary solutions.
• Significant experience optimizing data implementations, including pipelines, queries, and data models.
• High proficiency in data engineering, including data movement, integration, transformation, and cleansing.
• Ability to lead the design, management, and optimization of data warehousing or modern data platforms.
• High skill in data modeling, including entity-relationship diagrams, dimensional modeling, and semantic modeling.
• Ability to perform data analytics, including exploratory data analysis and deriving actionable insights.
• Experience implementing data governance frameworks and policies, including familiarity with Unity Catalog.
• Understanding of data security practices, including encryption and access control, and networking for Databricks deployments.
• 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 governance, lineage, access controls, and data sharing; Apache Spark development with PySpark, Spark SQL, and Delta Lake; data engineering with 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.
• Ability to evaluate, summarize, organize, and interpret data.
• Ability to establish and cultivate business relationships and a professional network, including with senior executives.
• Experience pursuing business development opportunities and implementing strategies to obtain new work or clients.
• Ability to translate and communicate issues, risks, or challenges to client personnel, including executives.
• Leadership and direct supervisory experience, including performance appraisals, mentoring and coaching, work oversight and review, coordination across teams, and motivating teams.

Nice To Haves

• Databricks Champion certification.
• 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, architect, deliver, and optimize modern data engineering and data platform solutions using Databricks and related technologies.
• Assess existing on-premises and cloud data solutions and plan migrations to Databricks from on-premises, other cloud platforms, or legacy systems.
• Develop and execute data strategies aligned with organizational goals.
• Implement and optimize ETL processes, databases, data pipelines, queries, data models, and data warehousing or modern data platforms.
• Administer and maintain data solutions to support stability, security, scalability, and affordability.
• Implement data governance frameworks and policies, including management of data assets with Unity Catalog.
• Apply data security practices, including encryption and access control, and address networking requirements for Databricks deployments.
• Use data analytics and data storytelling to inform decisions and provide actionable insights.
• Lead project work plans and oversee successful delivery of project work.
• Build and maintain client relationships and professional networks, including relationships with senior executives.
• Communicate issues, risks, and challenges to client personnel, including executives.
• Lead, supervise, mentor, coach, and develop teams; conduct performance appraisals and review work.
• Promote an inclusive, collaborative team culture and coordinate work across teams.
• Contribute to client proposals, business development, and strategies to win new work.
• Identify opportunities to integrate products and resources to improve client service capabilities.
• Participate in the creation and rollout of training and other team development opportunities.

Benefits

• Annual bonus plan with a 14% target opportunity, including potential cash and/or discretionary stock compensation.
• Medical insurance.
• Dental insurance.
• Vision insurance.
• Flexible spending and health savings accounts.
• Life and accident insurance.
• Adoption assistance.
• Fertility assistance.
• Paid parental leave up to 10 weeks.
• Short- and long-term disability coverage.
• 401(k) savings and investment plan with an employer match of 50% 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 the amount varying by years of service.
• Up to 11 paid holidays each calendar year.
• Hybrid work model combining in-person and remote work.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior