Data Architect (Databricks)

Cloud Data Architect

Position: Cloud Data Architect

Purpose of the Position: Purpose of this role is to drive growth of Cloud & Data Engineering business as a Cloud Data Architect. Major responsibilities under this role would be to engage with clients in advisory & consulting, advance solutions, support presales as a solution architect, build capabilities, drive research & experimentation and nurture talent in cloud & data engineering.  The client provides end-to-end data & analytics solutions to commercial and public sector customers in various  markets across the globe with a concentration in the US, EMEA, and the APAC regions. The client invests in four  core competencies— Cloud & Data Engineering (CDE), Analytics and Data Management (ADM), Business  Consulting (BC) and Service Management (SM)—to enable continued access to global markets and unmet  needs. 
Reporting to the Director of Cloud & Data Engineering Competency Center, this role would require collaboration with stakeholders internally within the organization such as practices, delivery, sales, marketing,  talent fulfilment & development functions as well as clients and partners. 

Location: United States (Remote) 
Type of Employment: Full time 

Key Result Areas and Activities:
 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 Infocepts 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. 
 Nurture & grow talent – Develop differentiated D&A talent pool in through recruitment and learning & development in cloud data engineering competencies. Mentor associates to help them advance their careers in D&A using the client's Career Architecture Framework. 
 

Work and Technical Experience: 
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

Good to have:
 Well versed with data management practices such as data quality management, data cataloging and data governance in hybrid and multi-cloud environments 
 Well versed in DataOps automation using custom or cloud native services on hyperscaler platforms 
 Well versed with DevSecOps considerations for cloud first data analytics solutions 
 Sound understanding of cloud infrastructure provision, data observability and Cloud FinOps 
 Demonstrable advisory and consulting experiences for strategic D&A initiatives 
 Sound business appreciation to understand business and functional requirements for solution architecture considerations 
 Experience in evaluating and comparing multiple cloud data technology choices and making right-fit recommendations in the client context 
 Working knowledge of frameworks like TOGAF, DAMA 

Qualifications: 
 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