Databricks Solutions Architect Associate Director

Protiviti•Atlanta, GA
•$162,000 - $276,000•Hybrid

About The Position

Protiviti is looking for a Technology Consulting Associate Director to join our growing Enterprise Data & Analytics team. As an Associate Director, you'll take a lead role in strengthening our relationships with clients and providing seamless guidance in the completion of engagements. You'll partner with our strategic clients to manage risk associated with their use of technology. You'll develop strategies to solve complex business problems using new ways of thinking, and devise solutions to support your clients' needs through analytics, automation or the latest tools and methods. You’ll develop new projects, help identify new business, and build lasting relationships with clients and within the community as you serve as an ambassador of Protiviti in the market. You will also be a mentor and provide growth and development to teams as you oversee the successful completion of project work plans.

Requirements

  • Ability to articulate the value of Databricks capabilities to customers and colleagues, and proven track record of data storytelling to guide decision-making.
  • Participation in the process of formulating, communicating, and executing data strategies that align with organizational goals and objectives leveraging Databricks and relevant technologies.
  • Experience in assessing existing data solutions, whether on-premises or in the cloud, to inform improvement initiatives.
  • Advanced skills in architecting future state data solutions using Well-Architected Frameworks aligned to Databricks.
  • Experience in planning and migrating data solutions from various sources, including on-premises, other cloud platforms, or legacy systems, to Databricks.
  • Highly proficient with implementing ETL processes and databases using either Databricks or complimentary solutions.
  • Significant experience optimizing existing data implementations, including pipelines, queries, and data models, to enhance performance and delivery of value to the business.
  • Knowledge of administering and maintaining data solutions to ensure stability, security, scalability, and affordability.
  • Highly proficient in data engineering, including data movement, data integration, transformation, and cleansing.
  • Ability to lead designing, managing, and optimizing data warehousing / modern data platform.
  • Highly skilled in data modeling, including entity-relationship diagrams, dimensional modeling, and semantic modeling.
  • Ability to perform data analytics, including exploratory data analysis and leveraging data for actionable insights.
  • Experience with implementing data governance frameworks and policies, including an understanding of managing data assets using Unity Catalog.
  • Understanding of data security practices, including encryption and access control.
  • Knowledge of networking as it applies to configuring Databricks on-prem or within cloud solutions.
  • Understanding of DevOps or DataOps concepts and experience with the deployment of Databricks solutions.
  • Expert in SQL and Spark (PySpark & Spark SQL).
  • Competency with at least 3 and exposure to most of these 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.
  • Establishing and cultivating business relationships and a professional network, including with senior executives.
  • Successfully 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 (e.g., MIS, CIS, Analytics).
  • 9+ years working in professional services or related industry.
  • Required: Professional Databricks certification (Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional).

Nice To Haves

  • Familiarity with most of the following Concepts and Methodologies.
  • Familiarity with any of the programming languages such as C#, Java, Scala, R, DAX, MDX, or M.
  • Bonus: Experience with Data Science and/or Machine Learning.
  • Bonus: Mosaic AI, MLflow, model serving, and generative AI capabilities.
  • Preferred: Databricks Champion.

Responsibilities

  • Designing and delivering modern data engineering solutions with Databricks.
  • Building trusted relationships with C-level executives and providing exceptional experiences that translate to additional project work.
  • Project management and team leadership.
  • Promoting a positive team culture that fosters open communication among all engagement team members.
  • Creating development opportunities for others, including participating in the creation and rollout of training, and ways for your team to improve our clients and communities.
  • Discovering prospective project work with current and potential clients through networking, knowledge-building, and client interactions.
  • Identifying opportunities to integrate product solutions and resources to improve client service capabilities.
  • Translating client challenges into new project proposals and sales.
  • Contributing to thought leadership and encouraging knowledge-sharing and collaboration across teams.
  • Managing a diverse portfolio of clients across industries.
  • Leading and managing teams, including conducting performance appraisals, mentoring and coaching, oversight and review of work, coordination across teams, and understanding how to motivate.
  • Articulating the value of Databricks capabilities to customers and colleagues, and proven track record of data storytelling to guide decision-making.
  • Formulating, communicating, and executing data strategies that align with organizational goals and objectives leveraging Databricks and relevant technologies.
  • Assessing existing data solutions, whether on-premises or in the cloud, to inform improvement initiatives.
  • Architecting future state data solutions using Well-Architected Frameworks aligned to Databricks.
  • Planning and migrating data solutions from various sources, including on-premises, other cloud platforms, or legacy systems, to Databricks.
  • Implementing ETL processes and databases using either Databricks or complimentary solutions.
  • Optimizing existing data implementations, including pipelines, queries, and data models, to enhance performance and delivery of value to the business.
  • Administering and maintaining data solutions to ensure stability, security, scalability, and affordability.
  • Data engineering, including data movement, data integration, transformation, and cleansing.
  • Leading designing, managing, and optimizing data warehousing / modern data platform.
  • Data modeling, including entity-relationship diagrams, dimensional modeling, and semantic modeling.
  • Performing data analytics, including exploratory data analysis and leveraging data for actionable insights.
  • Implementing data governance frameworks and policies, including an understanding of managing data assets using Unity Catalog.
  • Understanding of data security practices, including encryption and access control.
  • Configuring Databricks on-prem or within cloud solutions, considering networking aspects.
  • Understanding of DevOps or DataOps concepts and experience with the deployment of Databricks solutions.
  • Establishing and cultivating business relationships and a professional network, including with senior executives.
  • Successfully pursuing business development opportunities and identifying and implementing strategies to obtain new work or clientele.
  • Translating and communicating issues, risks or challenges to client personnel, including executives.

Benefits

  • 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/long term disability
  • company 401(k) savings and investment plan with an employer match of 50% on the first 6% of your contributions
  • Choice Time Off (CTO) for vacation, personal needs, and sick time
  • up to 20 days of CTO per calendar year for new hires
  • 11 paid holidays each calendar year
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service