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Protiviti

Solutions Architect Manager

Protiviti

. Partner with clients to solve complex business problems using Databricks and relevant technologies .

Posted 10/14/2026full-timeUnited StatesMid-LevelSenior💰 $145,000 - $232,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and delivering data engineering solutions using Databricks, including implementing ETL processes and optimizing data pipelines. Proficient in data governance frameworks and capable of formulating and executing data strategies aligned with organizational goals.

Highest-signal resume keywords
Databricks Certified Data Engineer ProfessionalData EngineeringETL ImplementationData Governance FrameworksSQL and Spark Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringETL ProcessesData ModelingData AnalyticsData MigrationData WarehousingData IntegrationData TransformationData CleansingData Security
Soft Skills
Client Relationship ManagementMentoring and CoachingCommunicationProblem SolvingCollaboration
Tools & Technologies
DatabricksUnity CatalogDevOpsDataOpsCloud Platforms
Certifications & Qualifications
Databricks Certified Data Engineer ProfessionalDatabricks Certified Machine Learning Professional
Industry Keywords
Professional ServicesData SolutionsWell-Architected FrameworksData PipelinesData Governance

Tech Stack

Tools & technologies
CloudETLPySparkSparkSQLUnity

About the role

Key responsibilities & impact
  • Partner with clients to solve complex business problems using Databricks and relevant technologies
  • Design and deliver modern data engineering solutions
  • Develop lasting client relationships through quality product delivery
  • Foster a business-community network and act as a Protiviti market ambassador
  • Mentor, train, and coach team members
  • Facilitate successful completion of project work plans
  • Formulate, communicate, and execute data strategies aligned with organizational goals
  • Assess existing on-premises and cloud data solutions to inform improvements
  • Architect future-state data solutions aligned to Databricks Well-Architected Frameworks
  • Plan and migrate data solutions from on-premises, other cloud platforms, and legacy systems to Databricks
  • Implement ETL processes and databases
  • Optimize data pipelines, queries, and data models
  • Administer and maintain data solutions for stability, security, scalability, and affordability
  • Design, manage, and optimize data warehousing and modern data platforms
  • Implement data governance frameworks and policies, including Unity Catalog
  • Configure Databricks networking and deploy Databricks solutions using DevOps or DataOps practices
  • Participate in client proposal preparation and strategies to win new business
  • Create and roll out training and development opportunities for team members
  • Work with a diverse portfolio of clients across industries

Requirements

What you’ll need
  • Bachelor’s degree in a relevant discipline (e.g., MIS, CIS, Analytics)
  • 5+ years working in professional services or related industry
  • Required professional Databricks certification: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional
  • Experience with Databricks capabilities and data storytelling
  • Experience formulating, communicating, and executing data strategies
  • Experience assessing on-premises and cloud data solutions
  • Advanced skills architecting future-state data solutions using Well-Architected Frameworks aligned to Databricks
  • Experience planning and migrating data solutions to Databricks
  • Highly proficient implementing ETL processes and databases
  • Significant experience optimizing pipelines, queries, and data models
  • Knowledge 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 warehousing and 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 managing data assets using Unity Catalog
  • Understanding of data security, encryption, and access control
  • Knowledge of networking for Databricks on-premises or cloud configurations
  • Understanding of DevOps or DataOps and Databricks deployment
  • Expert in SQL and Spark (PySpark and Spark SQL)
  • Competency with at least 3 and exposure to most listed Databricks technologies
  • Background check required upon offer
  • Must be eligible to work in a Protiviti-registered state; Protiviti is not registered to hire or employ personnel in West Virginia or Alaska

Benefits

Comp & perks
  • Annual bonus plan with 12% 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- and long-term disability
  • 401(k) savings and investment plan with 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 arrangement
  • Flexible environment
  • Reasonable accommodation support