Solutions Architect Manager

Protiviti

. Partner with clients to solve complex business problems and provide advice and solutions using Databricks and related 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, with a strong focus on data strategy formulation, implementation of ETL processes, and optimization of data models. Proven ability to mentor team members and foster client relationships while ensuring the successful execution of data governance frameworks.

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 OptimizationData GovernanceData PipelinesData Solutions ArchitectureData Integration

Soft Skills

MentoringClient Relationship ManagementTeam CollaborationCommunicationProblem Solving

Tools & Technologies

DatabricksUnity CatalogSQLSparkPySparkCloud PlatformsOn-Premises SolutionsData WarehousingDataOpsDevOps

Certifications & Qualifications

Databricks Certified Data Engineer ProfessionalDatabricks Certified Machine Learning Professional

Industry Keywords

Data ArchitectureProfessional ServicesData StrategyData SecurityNetworkingBusiness SolutionsData TransformationData CleansingExploratory Data AnalysisWell-Architected Frameworks

Tech Stack

Tools & technologies

CloudETLPySparkSparkSQLUnity

About the role

Key responsibilities & impact

Partner with clients to solve complex business problems and provide advice and solutions using Databricks and related technologies
Design and deliver modern data engineering solutions with Databricks
Develop lasting relationships with client personnel through quality product delivery
Foster a business-community network and serve 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 and identify improvement initiatives
Architect future-state data solutions using Databricks-aligned frameworks
Plan and migrate data solutions from on-premises, other cloud platforms, and legacy systems to Databricks
Implement ETL processes, databases, data pipelines, and data models
Optimize data implementations, queries, pipelines, and models for performance and business value
Administer and maintain secure, stable, scalable, and cost-effective data solutions
Lead the design, management, and optimization of data warehouses and modern data platforms
Implement data governance frameworks and policies using Unity Catalog
Participate in client proposals and strategies to win new business
Create development opportunities and contribute to training initiatives
Collaborate with diverse engagement teams and promote a positive team culture

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 many and familiarity with most listed data architecture and engineering concepts and methodologies
Ability to articulate the value of Databricks capabilities and proven data storytelling track record
Experience formulating, communicating, and executing data strategies
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 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/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 configurations
Understanding of DevOps/DataOps and Databricks solution 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 as a condition of employment

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-term 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 working model with flexible remote and in-person work