Databricks Solutions Architect Senior Manager

Protiviti • Washington, DC

1d • $159,000 - $255,000 • Hybrid

About The Position

Protiviti is seeking a Technology Consulting Senior Manager to join its growing Enterprise Data & Analytics team. The Senior Manager partners with clients to identify and manage risk, develop strategies for complex business problems, and design solutions using modern tools and methods. The role develops lasting client relationships through high-quality delivery, builds a network in the business community, represents Protiviti in the market, 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 combines technical architecture and engineering expertise with client relationship management, project leadership, business development, and team development. The Senior Manager works with a diverse client portfolio across industries and contributes to proposals and strategies for winning new business.

Protiviti uses a hybrid workplace model combining purposeful in-person work and remote work. The balance varies by client, project, team, and business factors. Work may take place at local Protiviti offices and client sites, with local or out-of-state travel depending on project needs and client commitments.

The starting base salary range is $159,000–$255,000, with a 14% annual bonus target opportunity. The estimated total cash range is $181,260–$290,700. Benefits for eligible full-time U.S. employees include medical, dental and vision coverage; FSA and HSA healthcare accounts; life and accident insurance; adoption and fertility assistance; paid parental leave; short- and long-term disability; a 401(k) plan with employer match; Choice Time Off; and paid holidays.

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 the value of Databricks capabilities and using data storytelling to guide decision-making.
• Experience assessing existing data solutions and architecting future-state solutions using Databricks-aligned Well-Architected Frameworks.
• Experience planning and migrating data solutions from on-premises, other cloud platforms, or legacy systems to Databricks.
• Strong proficiency implementing ETL processes and databases with Databricks or complementary solutions.
• Significant experience optimizing data implementations, including pipelines, queries, and data models.
• Strong data engineering skills, including data movement, integration, transformation, and cleansing.
• Strong data modeling skills, including entity-relationship, dimensional, and semantic modeling.
• Experience with data analytics, exploratory data analysis, and deriving 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, and networking for 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.
• Leadership and management capability, including fostering inclusive collaboration, building trust, and managing deliverables.
• Ability to establish and cultivate business relationships and a professional network, including relationships with senior executives.
• Ability to pursue business development opportunities and identify and implement strategies to obtain new work or clients.
• Ability to lead teams and motivate colleagues, including through direct supervision, performance reviews, mentoring, coaching, and work oversight.

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 and solutions for complex business problems.
• Design and deliver modern data engineering solutions using Databricks and related technologies.
• Build lasting client relationships through high-quality product and project delivery.
• Develop a professional network and represent Protiviti in the business community and market.
• Mentor team members, provide performance development, and oversee successful completion of project work plans.
• Lead and supervise teams, including performance appraisals, coaching, mentoring, work review, and coordination across teams.
• Contribute to client proposals and strategies to win new business, and pursue business development opportunities.
• Identify opportunities to integrate product solutions and resources to improve client service capabilities.
• Formulate, communicate, and execute data strategies aligned with organizational goals.
• Assess existing on-premises and cloud data solutions and plan improvements or migrations to Databricks.
• Architect, implement, administer, optimize, and maintain secure, stable, scalable, and cost-effective data platforms and solutions.
• Lead the design, management, and optimization of data warehouses and modern data platforms.
• Translate and communicate issues, risks, and challenges to client personnel, including executives.

Benefits

• Medical, dental, and vision coverage.
• Flexible spending and health savings accounts.
• Life and accident insurance.
• Adoption and 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.
• Up to 11 paid holidays per calendar year.
• Annual bonus plan with cash and/or discretionary stock compensation opportunities; target opportunity is 14%.

What This Job Offers

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