As part of the leadership team for Data business, the role will be responsible for building and growing the Databricks capability within the organization. The role entails driving technical strategy, innovation, and solution delivery on the Databricks Unified Data Analytics platform. This leader will work closely with clients, delivery teams, technology partners, and internal stakeholders to define and deliver scalable, high-performance solutions using

Responsibility and Capability Development :

- Design and enhance Databricks-based solutions, accelerators, and reusable frameworks.

- Define architectural patterns and best practices for Lakehouse implementations.

- Collaborate with Databricks alliance teams to grow partnership and co-sell

Leadership :

- Provide architectural oversight for Databricks engagements including Delta Lake, Unity Catalog, MLflow, and Structured Streaming.

- Lead solution architecture and design in proposals, RFPs, and strategic pursuits.

- Establish technical governance and conduct reviews to ensure standards compliance.

- Act as a technical escalation point for complex use cases in big data and machine

Oversight :

- Guide delivery teams through implementation best practices, optimization, and troubleshooting.

- Ensure high-quality execution across Databricks programs with a focus on performance, scalability, and governance.

- Drive consistent use of CI/CD, automation, and monitoring for Databricks

Development :

- Build a specialized Databricks talent pool through recruitment, training, and mentoring.

- Define certification and career paths aligned with Databricks and related ecosystem tools.

- Lead internal community of practice sessions and promote knowledge

Development Support :

- Partner with sales and pre-sales to position Databricks-based analytics and AI/ML solutions.

- Identify new use cases and business opportunities using the Databricks platform.

- Participate in client discussions, workshops, and architecture review

Leadership and Innovation :

- Develop whitepapers, blogs, and PoVs showcasing advanced analytics and AI/ML use cases on Databricks.

- Stay abreast of Databricks roadmap, product features, and industry developments.

- Drive innovative solutioning using Databricks with modern data stack

Requirements :

- 20 years of experience in Data Engineering, Analytics, or AI/ML, with 35 years of focused experience on Databricks.

- Proficiency in architectural best practices in cloud around user management, data privacy,

data security, performance and other non-functional requirements.

- Proven experience delivering large-scale data and AI/ML workloads on Databricks.

- Deep knowledge of Spark, Delta Lake, Python/Scala, SQL, and data pipeline orchestration.

- Experience with MLOps, Feature Store, Unity Catalog, and model lifecycle management.

- Certification preferred (e.g., Lakehouse Fundamentals, Data Engineer Associate/ Professional).

- Experience integrating Databricks with cloud platforms (Azure, AWS, or GCP) and BI tools.

- Strong background in solution architecture, presales, and client advisory.

- Excellent communication, stakeholder engagement, and leadership skills.

- Exposure to data governance, security, compliance, and cost optimization in cloud

Mastech InfoTrellis :

- Mastech InfoTrellis is the Data and Analytics unit of Mastech Digital. At Mastech InfoTrellis, we have built intelligent Data Modernization practices and solutions to help companies harness the true potential of their data.

- Our expertise lies in providing timely insights from your data to make better decisionsFASTER. With our proven strategies and cutting-edge technologies, we foster intelligent decision-making, increase operational efficiency, and impact substantial business growth.

- With an unwavering commitment to building a better future, we are driven by the purpose of transforming businesses through data-powered innovation. (Who We Are | Mastech InfoTrellis).

- Mastech Digital is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.