Description :

Position : Solution Architect - Cloud and Data Engineering.

Purpose of the Position :

Purpose of this role is to drive growth of Cloud & Data Engineering business at Infocepts as a Solution 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.

Location : Pune/Nagpur/Bangalore/Chennai.

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 clients 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 Infocepts 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 Infoceptss Career Architecture Framework.

Essential Skills :

- Experience in D&A domain specifically in cloud data technologies.

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

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

- Proficiency in D&A stack of one or more hyperscaler platforms such as Azure, AWS, GCP and modern data platforms such as Snowflake and Databricks.

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

- 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.

Desirable Skills :

- Well versed with data management practices such as data quality management, data cataloging and data governance in hybrid and multi-cloud environments.

- Well versed with DevSecOps considerations for cloud first data analytics solutions.

- Sound understanding of cloud infrastructure provision, data observability and Cloud FinOps.

- Experience in evaluating and comparing multiple cloud data technology choices and making right-fit recommendations in the client context.

Qualifications :

- Bachelors degree in computer science, engineering, or related field (Masters 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.

Qualities :

- Self-motivated and focused on delivering outcomes for a fast growing team and firm.

- Able to communicate persuasively through speaking, writing, and client presentations.

- Able to consult, write, and present persuasively.

- Able to work in a self-organized and cross-functional team.

- Able to iterate based on new information, peer reviews, and feedback.

- Able to work with teams and clients in different time zones.

- Research focused mindset.