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Protiviti

Global consulting on risk, IT, audits

Databricks Solutions Architect Associate Director

Data EngineeringConfirmed live in the last 24 hours
Full-time$162k - $276k

About the Job

Requirements

  • Ability to articulate the value of Databricks capabilities to customers and colleagues and a proven track record of data storytelling to guide decision-making.
  • Experience formulating, communicating, and executing data strategies aligned with organizational goals and objectives using Databricks and related technologies.
  • Experience assessing existing on-premises or cloud data solutions to inform improvement initiatives.
  • Advanced skills 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.
  • High proficiency implementing ETL processes and databases using Databricks or complementary solutions.
  • Significant experience optimizing data implementations, including pipelines, queries, and data models, to improve performance and business value.
  • 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.
  • High skill in data modeling, including entity-relationship diagrams, dimensional modeling, and semantic modeling.
  • Ability to perform data analytics, including exploratory data analysis and use of data to generate 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; familiarity with C#, Java, Scala, R, DAX, MDX, or M is a bonus.
  • Competency with at least three and exposure to most of the following 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.
  • Ability to establish and cultivate business relationships and a professional network, including with senior executives.
  • Track record of pursuing business development opportunities and identifying and implementing strategies to obtain new work or clientele.
  • Ability to translate and communicate issues, risks, or challenges to client personnel, including executives.
  • Leadership and direct supervisory experience of teams, including conducting performance appraisals, mentoring and coaching, oversight and review of work, coordination across teams, and understanding how to motivate.
  • Bachelor's degree in a relevant discipline, such as MIS, CIS, or Analytics.
  • At least 9 years of experience working in professional services or a related industry.
  • Professional certification; specifically, a Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional certification is required.

Responsibilities

  • Lead client relationships and provide guidance through the completion of engagements.
  • Partner with strategic clients to manage risks associated with their use of technology.
  • Develop strategies to solve complex business problems and devise solutions using analytics, automation, and current tools and methods.
  • Develop new projects, identify new business, and build lasting client and community relationships while representing Protiviti in the market.
  • Mentor teams and provide growth and development support while overseeing successful completion of project work plans.
  • Create development opportunities for team members, including participating in training creation and rollout and identifying ways for the team to improve client and community outcomes.
  • Discover prospective project work with current and potential clients through networking, knowledge-building, and client interactions.
  • Identify opportunities to integrate product solutions and resources to improve client service capabilities.
  • Translate client challenges into project proposals and sales opportunities.
  • Contribute to thought leadership and encourage knowledge-sharing and collaboration across teams.
  • Manage a diverse portfolio of clients across industries.
  • Create a team environment where team members feel valued, welcomed, and able to contribute their ideas.
  • Build solutions and manage deliverables to earn client and colleague trust.
  • Design and deliver modern data engineering solutions with Databricks.
  • Lead the design, management, and optimization of data warehousing and modern data platforms.

Desired Qualifications

  • Experience with Data Science and/or Machine Learning.
  • Familiarity with Mosaic AI, MLflow, model serving, and generative AI capabilities.
  • Databricks Champion credential.

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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