Databricks Solutions Architect – Associate Director

Protiviti

. Lead client relationships and provide guidance throughout engagement completion .

Posted 10/14/2026full-timeUnited StatesSenior💰 $173,000 - $295,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering modern data engineering solutions using Databricks, with a strong focus on data governance, ETL processes, and data analytics. Proven ability to lead client relationships, mentor teams, and drive business development initiatives.

Highest-signal resume keywords

Databricks Certified Data Engineer ProfessionalData EngineeringETL ProcessesData GovernanceSQL and Spark

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL ProcessesData GovernanceData ModelingData AnalyticsDatabricksSQLSparkPySparkData Migration

Soft Skills

Client Relationship ManagementMentoringLeadershipCommunicationBusiness Development

Tools & Technologies

DatabricksData WarehousesData PipelinesData SecurityUnity CatalogCloud Data SolutionsOn-Premises Data SolutionsDataOpsDevOpsAnalytics Tools

Certifications & Qualifications

Databricks Certified Data Engineer ProfessionalDatabricks Certified Machine Learning Professional

Industry Keywords

Professional ServicesData SolutionsBusiness DevelopmentData StrategyData Movement

Tech Stack

Tools & technologies

CloudETLPySparkSparkSQLUnity

About the role

Key responsibilities & impact

Lead client relationships and provide guidance throughout engagement completion
Manage technology-related risk for strategic clients
Develop strategies and solutions for complex business problems using analytics, automation, and modern tools
Design and deliver modern data engineering solutions with Databricks
Develop new projects, identify business opportunities, and build lasting client and community relationships
Serve as a Protiviti ambassador in the market
Mentor teams and provide growth and development opportunities
Oversee successful completion of project work plans
Assess existing on-premises and cloud data solutions and plan migrations to Databricks
Architect, implement, administer, optimize, and secure modern data platforms and data warehouses
Implement ETL processes, data pipelines, databases, data governance, and data security controls
Lead data modeling, analytics, exploratory data analysis, and actionable insights initiatives
Pursue business development opportunities, prepare proposals, and support sales
Contribute to thought leadership and knowledge-sharing across teams
Manage a diverse portfolio of clients across industries
Lead and supervise teams, including performance reviews, mentoring, coaching, and coordination across teams

Requirements

What you’ll need

Bachelor’s degree in a relevant discipline (e.g., MIS, CIS, Analytics)
9+ years working in professional services or related industry
Required professional Databricks certification: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional
Databricks Champion preferred
Experience designing and delivering modern data engineering solutions with Databricks
Ability to articulate the value of Databricks capabilities and proven data storytelling experience
Experience formulating, communicating, and executing data strategies using Databricks and relevant technologies
Experience assessing on-premises and cloud data solutions
Advanced skills architecting future-state data solutions using Databricks-aligned Well-Architected Frameworks
Experience planning and migrating data solutions to Databricks
Highly proficient implementing ETL processes and databases
Significant experience optimizing data pipelines, queries, and data models
Knowledge of administering and maintaining stable, secure, scalable, and affordable data solutions
Highly proficient in data engineering, data movement, integration, transformation, and cleansing
Ability to design, manage, and optimize data warehouses or modern data platforms
Highly skilled in data modeling, including entity-relationship, dimensional, and semantic modeling
Ability to perform data analytics and exploratory data analysis
Experience implementing data governance frameworks and policies, including Unity Catalog
Understanding of data security, encryption, and access control
Knowledge of networking for Databricks on-premises or cloud deployments
Understanding of DevOps or DataOps and Databricks solution deployment
Expert in SQL and Spark, including PySpark and Spark SQL
Competency with at least 3 listed technologies and exposure to most others
Experience establishing business relationships and professional networks, including with senior executives
Experience pursuing business development opportunities and obtaining new work or clientele
Ability to communicate issues, risks, and challenges to client personnel and executives
Leadership and direct supervisory experience, including performance appraisals, mentoring, coaching, work review, and team coordination
Successful completion of a background check

Benefits

Comp & perks

Annual bonus plan with 16% bonus target opportunity and/or discretionary stock compensation opportunities
Medical, dental, and vision coverages
FSA and HSA healthcare accounts
Life and accident insurance
Adoption and fertility assistance
Paid parental leave up to 10 weeks
Short-term and long-term disability
Company 401(k) savings and investment plan with an employer match of 50% on the first 6% of contributions
Choice Time Off (CTO) for vacation, personal needs, and sick time; new hires receive up to 20 days per calendar year
Up to 11 paid holidays each calendar year
Hybrid work model with flexible remote and in-person work
Opportunities to learn, inspire, and advance within a collaborative and inclusive culture