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Tech Stack
Tools & technologiesApacheCloudETLPySparkSparkSQLUnity
About the role
Key responsibilities & impact- Partner with clients to identify and manage risk
- Develop strategies to solve complex business problems using new approaches
- Devise solutions supporting client needs using current tools and methods
- Develop lasting client relationships through quality product delivery
- Foster a business-community network and serve as a Protiviti market ambassador
- Mentor teams and provide performance development
- Oversee successful completion of project work plans
- Design and deliver modern Databricks data engineering solutions
- Formulate, communicate, and execute data strategies aligned with organizational goals
- Assess existing on-premises and cloud data solutions and recommend improvements
- Architect future-state data solutions using Databricks-aligned frameworks
- Plan and migrate data solutions to Databricks
- Implement, optimize, administer, and maintain ETL processes, databases, pipelines, queries, models, and modern data platforms
- Implement data governance, security, networking, DevOps/DataOps, and Databricks deployments
- Lead data analytics, data storytelling, and actionable insights
- Contribute to client proposals and strategies to win new business
- Identify opportunities to integrate products and resources to improve client service capabilities
- Create and roll out training and development opportunities for teams
- Pursue business development opportunities and cultivate senior-executive relationships
Requirements
What you’ll need- Bachelor’s degree in a relevant discipline (e.g., MIS, CIS, Analytics)
- 7+ years working in professional services or a related industry
- Required professional Databricks certification: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional
- Databricks Champion preferred
- Leadership and direct supervisory experience, including performance appraisals, mentoring, coaching, work oversight and review, team coordination, and motivating teams
- Experience articulating the value of 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 Databricks-aligned Well-Architected Frameworks
- Experience planning and migrating data solutions from on-premises, other cloud platforms, or legacy systems to Databricks
- Highly proficient implementing ETL processes and databases using Databricks or complementary solutions
- 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, including Lakehouse architecture, Unity Catalog, Apache Spark, Delta Lake, Auto Loader, Lakeflow Declarative Pipelines, workflow orchestration, Databricks Asset Bundles, Git, CI/CD, Databricks SQL, serverless compute, query optimization, and performance tuning
- Ability to establish 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, including executives
- Successful completion of a background check is required for employment
Benefits
Comp & perks- Hybrid work model combining in-person and remote work
- 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
- Annual bonus plan with 14% target opportunity, including additional cash and/or discretionary stock compensation opportunities
- Flexible environment
- Opportunities to learn, inspire, and advance within a collaborative and inclusive culture