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Solution Architect (Data Engineering)
London
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Please visit Fractal | Intelligence for Imagination for more information about Fractal
As a Solution Architect, you will help create, pitch and deliver our Data Engineering offerings at large scale. This role will have both business and technical ownership.
Day-to-Day Responsibilities:
Individual Contributor
Design and own the end-to-end solution architecture for complex data estates across Azure, Databricks, PySpark, and broader modern data stacks.
Collaborate with vendors and demanding business stakeholders to build scalable, aligned, and performance-driven solutions.
Engage directly with clients in deep-dive working sessions and large forums to explain architectural decisions and obtain alignment.
Be fully hands-on where needed—including writing production-grade code. Candidates hesitant to code should not be considered.
Pre-Sales / RFPs
Actively contribute to organization-wide RFPs and pre-sales efforts based on domain experience and current engagements.
Must demonstrate comfort in writing proposals, defining solution approaches, and participating in orals.
Minimum 5 years of experience contributing to RFPs is highly preferred.
Hesitation or non-participation in RFPs is a disqualifier.
Team Leadership & Program Management
Estimate effort, define delivery scope, and break down solution modules into executable components.
Provide hands-on guidance to a team of data engineers and solution developers, aligning execution with architectural vision.
Create clarity in task allocation, and ensure technical quality and delivery velocity across pods.
In terms of technical experience -
15+ years of hands-on Data Engineering development experience
Proficient in Object-oriented languages (Python, PySpark) and frameworks
Hands-on expertise in Azure ecosystem, including components like Azure Data Factory, Azure Data Lake Storage, Azure, SQL, Azure DataBricks, HD Insights, ML Service etc.
Expertise in relational and dimensional modelling, including big data technologies.
Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus.
In terms of business responsibilities -
Client Engagement & Business Growth with a heavy technology focus.
Build and nurture strong client relationships, acting as a trusted advisor.
Drive account growth through proactive technology strategy development and technical adjacency opportunity discovery.
Lead pre-sales initiatives, crafting technically competent and compelling value propositions.
Identify and develop new business opportunities within existing and emerging markets.
Collaborate with extended Fractal Technology and Practice leadership to define growth roadmaps and execute strategies.
Good understanding of the CPG (Consumer Packaged Goods) domain is preferred.
Mandatory Skills:
Proficient in Object-oriented languages (Python, PySpark) and frameworks
Hands-on expertise in Azure ecosystem, including components like Azure Data Factory, Azure Data Lake Storage, Azure, SQL, Azure DataBricks, HD Insights, ML Service etc.
Expertise in relational and dimensional modelling, including big data technologies.
Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus.
Nice to have:
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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