Databricks Solutions Architect Senior Manager

Protiviti • Chicago, IL

1d • Hybrid

About The Position

Protiviti is looking for a Technology Consulting Senior Manager to join our growing Enterprise Data & Analytics team. As a Senior Manager, you’ll partner with our clients to identify and manage risk. You'll develop strategies to solve complex business problems using new ways of thinking, and devise solutions to support your clients' needs through using the latest tools and methods. You’ll develop lasting relationships with client personnel and further these relationships through quality product delivery. You’ll foster a network within the business community and serve as an ambassador of Protiviti in the market. You will also be a mentor and provide performance development to teams as you oversee the successful completion of project work plans.

Requirements

• Leadership & Management capabilities.
• Experience with many and familiarity with most of the following Concepts and Methodologies:
• Proven track record of data storytelling to guide decision-making.
• 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).
• Evaluating, summarizing, organizing, and interpreting data.
• 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.
• 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).
• 7+ years working in in professional services or related industry.
• Professional Databricks certification (Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional).

Nice To Haves

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

Responsibilities

• Design and deliver modern data engineering solutions with Databricks.
• Learn and stay updated on data architecture and engineering, including the latest trends and developments with Databricks.
• Build relationships with clients and provide exceptional experiences.
• Engage in project management and team leadership.
• Foster a positive team culture that promotes open communication.
• Create development opportunities for others, including participating in the creation and rollout of training.
• Contribute to the preparation of 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.
• Articulate the value of Databricks capabilities to customers and colleagues.
• Participate in the process of formulating, communicating, and executing data strategies that align with organizational goals and objectives leveraging Databricks and relevant technologies.
• Assess existing data solutions, whether on-premises or in the cloud, to inform improvement initiatives.
• Architect future state data solutions using Well-Architected Frameworks aligned to Databricks.
• Plan and migrate data solutions from various sources to Databricks.
• Implement ETL processes and databases using either Databricks or complimentary solutions.
• Optimize existing data implementations, including pipelines, queries, and data models.
• Administer and maintain data solutions to ensure stability, security, scalability, and affordability.
• Lead designing, managing, and optimizing data warehousing / modern data platform.
• Perform data analytics, including exploratory data analysis and leveraging data for actionable insights.
• Implement data governance frameworks and policies, including managing data assets using Unity Catalog.
• Translate and communicate issues, risk, or challenges to client personnel, including executives.
• Lead and directly supervise teams, including conducting performance appraisals, mentoring and coaching, oversight and review of work, coordination across teams, and understanding how to motivate.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• 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
• Up to 11 paid holidays each calendar year

What This Job Offers

• Job Type: Full-time
• Career Level: Senior