Solution Architect - Cloud and Data Engineering

InfoCepts; Pune District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

InfoCepts in Pune is seeking a Solution Architect focused on Cloud and Data Engineering. You will engage with clients, architect cross-cloud data solutions, and drive presales activities to advance client engagements.

The role requires deep experience in cloud data platforms and data governance, with a track record of data modernization and data products. You will mentor teams and contribute to research in cloud data engineering.

Qualifications

• Extensive experience in data analytics with cloud data technologies.
• Proven ability to design architecture and implement modern hybrid/multi-cloud analytics solutions.
• Presales experience including workshops, proposals and client engagement.
• Hands-on data modeling and cloud data engineering across platforms.
• Thought leadership through blogs, papers or presentations in data & analytics events.

Responsibilities

• Engage with clients, delivery & market.
• Architect solutions & coordinate their implementation.
• Guide research & experiments to address unmet needs.
• Build & reuse knowledge & expertise.
• Nurture & grow talent.

Skills

Cloud data technologies

Solution design

Architecture

Presales

Data modeling

Data engineering

Data modernization

Data migrations

Domain-driven architecture

Data mesh

Data fabric

Data quality management

Data cataloging

Data governance

DataOps

DevSecOps

Cloud FinOps

Advisory

Business requirements analysis

TOGAF

DAMA

Education

Bachelor’s degree in computer science, engineering, or related field

Master’s degree (optional)

Technical certifications in cloud/data

Tools

Azure

AWS

GCP

Snowflake

Databricks

Job description

Position:

Solution Architect - Cloud and Data Engineering

Purpose of the Position:

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.

Key Result Areas and Activities:

• Engage with clients, delivery & market
• Architect solutions & coordinate their implementation
• Guide research & experiments to address unmet needs
• Build & reuse knowledge & expertise
• Nurture & grow talent.

Work and Technical Experience:

• 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
• 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

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