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Protiviti

Global consulting on risk, IT, audits

Databricks Solutions Architect Senior Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time$159k - $255k

About the Job

Requirements

  • Demonstrate the ability to articulate the value of Databricks capabilities and use data storytelling to guide decision-making.
  • Participate in formulating, communicating, and executing data strategies aligned with organizational goals using Databricks and relevant technologies.
  • Assess existing on-premises or cloud data solutions to inform improvement initiatives.
  • Architect future-state data solutions using Well-Architected Frameworks aligned to Databricks.
  • Plan and migrate data solutions from on-premises environments, other cloud platforms, or legacy systems to Databricks.
  • Implement ETL processes and databases using Databricks or complementary solutions.
  • Optimize data implementations, including pipelines, queries, and data models, to improve performance and business value.
  • Administer and maintain data solutions for stability, security, scalability, and affordability.
  • Apply data engineering skills in data movement, integration, transformation, and cleansing.
  • Design, manage, and optimize data warehousing and modern data platforms.
  • Apply data modeling skills, including entity-relationship diagrams, dimensional modeling, and semantic modeling.
  • Perform data analytics, including exploratory data analysis and deriving actionable insights.
  • Implement data governance frameworks and policies, including managing data assets with Unity Catalog.
  • Apply data security practices, including encryption and access control.
  • Apply networking knowledge to configuring Databricks on-premises or in cloud solutions.
  • Understand DevOps or DataOps concepts and deploy Databricks solutions.
  • Demonstrate expert-level proficiency with SQL and Spark, including PySpark and Spark SQL.
  • Hold a bachelor's degree in a relevant discipline, such as MIS, CIS, or Analytics.
  • Have 7+ years of experience working in professional services or a related industry.
  • Hold a professional Databricks certification: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional.
  • Demonstrate competency with at least three, and exposure to most, of the listed technologies: 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.
  • Evaluate, summarize, organize, and interpret data.
  • Establish and cultivate business relationships and a professional network, including with senior executives.
  • Successfully pursue business development opportunities and identify and implement strategies to obtain new work or clientele.
  • Translate and communicate issues, risks, or challenges to client personnel, including executives.
  • Demonstrate leadership and direct supervisory experience, including conducting performance appraisals, mentoring and coaching, oversight and review of work, coordinating across teams, and understanding how to motivate.

Responsibilities

  • Partner with clients to identify and manage risk.
  • Develop strategies to solve complex business problems and devise solutions that support client needs using current tools and methods.
  • Develop lasting relationships with client personnel through quality product delivery.
  • Foster a network within the business community and represent Protiviti in the market.
  • Mentor teams and provide performance development while overseeing successful completion of project work plans.
  • Design and deliver modern data engineering solutions with Databricks.
  • Create development opportunities for others, including participating in creating and rolling out training and ways for the team to improve client and community outcomes.
  • Contribute to preparing client proposals and strategies to win new business.
  • Identify opportunities to integrate product solutions and resources to improve client service capabilities.
  • Work with a diverse portfolio of clients across industries.
  • Create a team environment where team members feel valued, welcomed, and able to contribute ideas.
  • Build solutions and manage deliverables to earn the trust of clients and colleagues.
  • Lead the design, management, and optimization of data warehousing and modern data platforms.
  • Work across local Protiviti offices and client sites; travel locally or out of state as project and client needs require.

Desired Qualifications

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

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

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