TELECOMMUTE Data Architect

· Engage with clients, delivery & market - Engage with new and existing clients to provide advisory consulting and address unmet needs in cloud data technologies. Proactively track D&A trends and influence client’s data strategy and choices through thought leadership. Identify white spaces and mine opportunities for growth.

· Architect solutions & coordinate their implementation - Architect and design modern, high-performance D&A solutions incorporating people, process, and technology levers in cloud and big data technologies. Coordinate with delivery for adoption with focus on greater reuse, AI infusion for accelerated and risk-mitigated implementation.

· Lead & support opportunities - Support pre-sales activities including conducting discovery workshops, developing point of views/solutions/scoping, writing proposals, and supporting sales and marketing enablement for Cloud and Big Data related technologies.

· Guide research & experiments to address unmet needs - Proactively drive research and experimentation through the CoEs to ensure that stays ahead of the curve in emerging areas of cloud data engineering and architecture. Identify specific opportunities for innovation to create differentiation and address unmet needs.

· Build & reuse knowledge & expertise - Build foundation components in the form of reusable assets in Cloud and Big Data technologies which can be leveraged across projects and client accounts. Advance solutions through effective use of one or more foundation components. Influence D&A space by creating thought leadership content and participating in external events and forums. Anchor and leverage Community of Practitioners (CoPs) for knowledge sharing and mobilizing support for innovation at scale.

We are looking for an experienced Cloud Data Architect to drive the growth of our Cloud & Data Engineering business through client advisory, consulting, solution architecture, and presales. The ideal candidate should have strong expertise in Databricks, Azure/AWS, modern data engineering, cloud data architecture, AI/BI, and data modernization, along with experience in research, innovation, capability building, and mentoring talent., · Bachelor’s degree in computer science, engineering, or related field (Master’s degree is a plus).

· Demonstrated continued learning through one or more technical certifications or related methods.

· At least 14+ years of experience in data analytics with focus on cloud data technologies.

Must Have:

· Experience in solution design, architecture and implementation of modern hybrid or multi-cloud data analytics solutions.

· Proficiency in D&A stack of Databricks on one or more hyperscaler platforms such as Azure/AWS.

· Well versed with modern data pipelines on the latest services in Databricks like declarative pipelines, medallion architecture in Lakehouse.

· Conversant with agentic workflows using Agent bricks, context engineering, conversational interface and front end through Databricks apps as well as AI/BI Genie.

· Demonstrable thought leadership through blogs, white papers and presentations in D&A events.

· Demonstrable presales and solutioning experience in conducting workshops, building proposals.

· In-depth and hands on experience on data modeling. data organization and data engineering on cloud.

· Diverse D&A experiences including green field implementations, data modernization, D&A migrations from on -premise to cloud and development of full stack data products.

· Experience of designing and implementing domain driven architecture, data mesh and data fabric architectural patterns.

· Note: Candidates with a Databricks RSA certification will be highly preferred for this role.

Certifications & Recognitions (Any One preferred):

· Databricks Professional and Databricks Associate Certifications.

· Databricks Solution Champion

· Databricks RSA (Resident Solution Architect)

· Solution Consultant