Solution Architect - Cloud Data Engineering
First seen by Alion on Sep 23, 2026.
Purpose of the Position:
Responsible to engage with clients in advisory and consulting, advance solutions, support presales as a solution architect, build capabilities, drive research and experimentation and nurture talent in cloud and data engineering.
Key Result Areas and Activities:
- Engage with clients, delivery and market
- Architect solutions and coordinate their implementation
- Lead and support opportunities
- Guide research and experiments to address unmet needs
- Build and reuse knowledge and expertise
- Nurture and grow talent
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 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
- 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:
- At least 14+ years of experience in data analytics with focus on cloud data technologies
- 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.
Qualities:
- Self-motivated and focused on delivering outcomes for a fast growing team.
- 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
Skills
Solution Architect, IT Consulting, Solution Design, Data Architect