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Protiviti
Protiviti
5,001 – 10,000 Employees
H1B Visa SponsorConsultingCybersecurityFinance
Protiviti is a global consulting firm that helps organizations address complex challenges across finance, technology, operations, governance, risk management, and internal audit. Its teams combine consulting expertise with data analytics, artificial intelligence, and cybersecurity capabilities to develop practical, tailored solutions for clients across industries. Protiviti’s work is centered on helping organizations adapt to changing business conditions, strengthen performance and resilience, and pursue sustainable growth.
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Databricks Solutions Architect Manager

Lead Databricks data engineering engagements for Protiviti clients, from platform strategy and migration to delivery and governance. Mentor teams and build client relationships across industries.

USUnited StatesNYNew YorkVAVirginia
$145,000 – $232,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredSolutions Engineer
CloudETLPySparkSparkSQLUnity

Description

  • Advise clients on business challenges and solutions built with Databricks and related technologies
  • Design and deliver modern data engineering solutions on Databricks
  • Build lasting client relationships through high-quality delivery
  • Develop business and community connections as a Protiviti market ambassador
  • Mentor, train, and coach team members
  • Keep project work plans on track through successful completion
  • Set, communicate, and carry out data strategies aligned with organizational goals
  • Evaluate on-premises and cloud data platforms and identify ways to improve them
  • Design target-state data architectures using Databricks frameworks
  • Plan and migrate data from on-premises systems, other clouds, and legacy platforms to Databricks
  • Build ETL processes, databases, pipelines, and data models
  • Improve implementations, queries, pipelines, and models for performance and business value
  • Operate and maintain secure, reliable, scalable, and cost-effective data solutions
  • Lead the design, management, and optimization of data warehouses and modern data platforms
  • Establish data governance frameworks and policies with Unity Catalog
  • Contribute to client proposals and business development strategies
  • Create development opportunities and support training programs
  • Work with varied engagement teams and help build a positive team culture

Requirements

  • Bachelor’s degree in a relevant field such as MIS, CIS, or analytics
  • At least five years of experience in professional services or a related industry
  • Professional Databricks certification: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional
  • Experience with many, and familiarity with most, of the listed data architecture and engineering concepts and methods
  • Ability to explain the value of Databricks capabilities and a demonstrated track record in data storytelling
  • Experience defining, communicating, and executing data strategies
  • Experience evaluating on-premises and cloud data platforms
  • Advanced ability to design target-state data solutions using Databricks-aligned Well-Architected Frameworks
  • Experience planning data migrations to Databricks
  • Strong proficiency implementing ETL processes and databases
  • Substantial experience optimizing data pipelines, queries, and models
  • Knowledge of operating and maintaining stable, secure, scalable, and cost-effective data solutions
  • Strong proficiency in data engineering, data movement, integration, transformation, and cleansing
  • Ability to design, manage, and optimize data warehouses and modern data platforms
  • Strong data modeling skills, including entity-relationship, dimensional, and semantic modeling
  • Ability to conduct data analytics and exploratory data analysis
  • Experience implementing data governance frameworks and policies, including Unity Catalog
  • Understanding of data security, encryption, and access controls
  • Knowledge of networking for on-premises or cloud Databricks configurations
  • Understanding of DevOps, DataOps, and Databricks solution deployment
  • Expertise in SQL and Spark, including PySpark and Spark SQL
  • Proficiency with at least three listed Databricks technologies and exposure to most others
  • Successful background check as a condition of employment

Benefits

  • Annual bonus plan with a 12% target opportunity and/or discretionary stock compensation opportunities
  • Medical, dental, and vision coverage
  • Flexible spending and health savings accounts
  • Life and accident insurance
  • Adoption and fertility assistance
  • Up to 10 weeks of paid parental leave
  • Short-term and long-term disability coverage
  • 401(k) plan with an employer match equal to 50% of the first 6% of contributions
  • Choice Time Off for vacation, personal needs, and sick time; new hires receive up to 20 days per calendar year
  • Up to 11 paid holidays per calendar year
  • Hybrid work model with flexible remote and in-person work

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