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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering modern data engineering solutions using Databricks, with a strong focus on data architecture, governance, and analytics. Proven ability to build client relationships, mentor teams, and drive business development initiatives.
Highest-signal resume keywords
Databricks Certified Data Engineer ProfessionalData Engineering Solutions DesignETL Process ImplementationData Governance FrameworksSQL and Spark Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData ModelingData MovementData TransformationData CleansingData WarehousingData AnalyticsData StorytellingOptimizing Data PipelinesCloud Data Solutions
Soft Skills
Client Relationship ManagementTeam MentoringBusiness DevelopmentCommunication SkillsLeadership
Tools & Technologies
DatabricksWell-Architected FrameworksUnity CatalogSQLSparkPySpark
Certifications & Qualifications
Databricks Certified Data Engineer ProfessionalDatabricks Certified Machine Learning ProfessionalDatabricks Champion
Industry Keywords
Professional ServicesData GovernanceDataOpsDevOpsBusiness Strategy
Tech Stack
Tools & technologiesCloudETLPySparkSparkSQLUnity
About the role
Key responsibilities & impact- Partner with clients to identify and manage risk
- Develop strategies and solutions for complex business problems using modern tools and methods
- Design and deliver modern data engineering solutions with Databricks
- Develop lasting client relationships through quality product delivery
- Foster a professional network and serve as a Protiviti ambassador in the market
- Mentor teams and provide performance development
- Oversee successful completion of project work plans
- Create development opportunities and participate in training creation and rollout
- Contribute to client proposals and strategies to win new business
- Identify opportunities to integrate product solutions and resources to improve client service capabilities
- Evaluate, summarize, organize, and interpret data
- Establish and cultivate business relationships, including with senior executives
- Pursue business development opportunities and obtain new work or clientele
- Translate and communicate issues, risks, and challenges to client personnel
- Conduct performance appraisals, mentoring, coaching, oversight, and review of team work
- Coordinate work across teams and motivate team members
Requirements
What you’ll need- Bachelor’s degree in a relevant discipline (e.g., MIS, CIS, Analytics)
- 7+ years working in professional services or related industry
- Required: Professional Databricks certification (Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional)
- Preferred: Databricks Champion
- Experience designing and delivering modern data engineering solutions with Databricks
- Experience with data architecture and engineering, including Databricks
- Experience articulating Databricks capabilities and data storytelling
- Experience formulating, communicating, and executing data strategies
- Experience assessing on-premises or 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 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 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 policies, including Unity Catalog
- Understanding of data security, encryption, and access control
- Knowledge of networking for Databricks on-premises or cloud solutions
- 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
- Leadership and direct supervisory experience, including performance appraisals, mentoring, coaching, work oversight, and team coordination
- Ability to establish business relationships and professional networks, including with senior executives
- Ability to pursue business development opportunities
- Ability to communicate issues, risks, and challenges to client personnel, including executives
- Successful completion of a background check
- Must be eligible for employment in the United States; Protiviti is not registered to hire or employ personnel in West Virginia or Alaska
Benefits
Comp & perks- Annual bonus plan with 14% 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 environment
- Reasonable accommodations for applicants with disabilities
