P

Protiviti

Global consulting on risk, IT, audits

Databricks Solutions Architect Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • Ability to articulate the value of Databricks capabilities and use data storytelling to guide decision-making.
  • Experience participating in the formulation, communication, and execution of data strategies aligned with organizational goals using Databricks and related technologies.
  • Experience assessing existing on-premises or cloud data solutions to inform improvement initiatives.
  • Advanced skills in architecting future-state data solutions using Well-Architected Frameworks aligned to Databricks.
  • Experience planning and migrating data solutions from on-premises environments, other cloud platforms, or legacy systems to Databricks.
  • Proficiency implementing ETL processes and databases using Databricks or complementary solutions.
  • Significant experience optimizing data implementations, including pipelines, queries, and data models.
  • Knowledge of administering and maintaining data solutions for stability, security, scalability, and affordability.
  • High proficiency in data engineering, including data movement, integration, transformation, and cleansing.
  • Ability to lead the design, management, and optimization of data warehousing and modern data platforms.
  • Skill in data modeling, including entity-relationship diagrams, dimensional modeling, and semantic modeling.
  • Ability to perform data analytics, including exploratory data analysis and using data to produce actionable insights.
  • Experience implementing data governance frameworks and policies, including managing data assets with Unity Catalog.
  • Understanding of data security practices, including encryption and access control.
  • Knowledge of networking as it applies to configuring Databricks on-premises or in cloud solutions.
  • Understanding of DevOps or DataOps concepts and experience deploying Databricks solutions.
  • Expertise in SQL and Spark, including PySpark and Spark SQL.
  • Competency in at least three and exposure to most of the following: Databricks Lakehouse architecture and medallion design patterns; Unity Catalog governance, lineage, access controls, and data sharing; Apache Spark development using PySpark, Spark SQL, and Delta Lake; data engineering with Auto Loader, Lakeflow Declarative Pipelines, and workflow orchestration; Databricks Asset Bundles, Git integration, CI/CD, and environment promotion; Databricks SQL, serverless compute, query optimization, and performance tuning.
  • Bachelor’s degree in a relevant discipline, 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.
  • Ability to successfully complete a background check as a condition of an employment offer.

Responsibilities

  • Partner with clients to solve complex business problems and provide advice and solutions using Databricks and related technologies.
  • Develop lasting relationships with client personnel and strengthen those relationships through quality product delivery.
  • Build a network within the business community and represent Protiviti in the market.
  • Mentor, train, and coach others while facilitating successful completion of project work plans.
  • Participate in creating and rolling out training and in identifying ways for the team to improve client and community outcomes.
  • Participate in preparing client proposals and strategies to win new business.
  • Design and deliver modern data engineering solutions with Databricks.
  • Assess, architect, plan, migrate, implement, optimize, administer, and maintain data solutions and platforms.
  • Design, manage, and optimize data warehouses and modern data platforms.
  • Implement data governance frameworks and policies, including Unity Catalog governance, lineage, access controls, and data sharing.
  • Deploy Databricks solutions using DevOps or DataOps practices.
  • Work in person at local Protiviti offices and client sites as project and client needs require; travel locally or out of state may be required.
  • Promote a positive team culture and open communication among engagement team members.

Desired Qualifications

  • Familiarity with programming languages such as C#, Java, Scala, R, DAX, MDX, or M.
  • Experience with Data Science and/or Machine Learning.
  • Experience with Mosaic AI, MLflow, model serving, and generative AI capabilities.
  • Databricks Champion certification.

About the Company

Protiviti

Global consulting on risk, IT, audits

Protiviti is a global consulting firm that helps large organizations tackle risk, compliance, technology, and process challenges. It delivers tailored engagements—often long-term partnerships—drawing on experts in risk and compliance, IT consulting, internal audit, and business process improvement, including legal advisory. In technology, Protiviti assists with digital transformation, cybersecurity, and data analytics; in risk and compliance, it helps manage regulatory requirements and internal controls. Its goal is to help clients strengthen governance, reduce risk, optimize operations, and improve performance across industries, including many Fortune 1000 and Global 500 companies.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Menlo Park, CA
Founded
2002

Recently Posted Jobs

Explore more opportunities at Protiviti

See more jobs