Solution Architect - Data & Analytics
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Key skills for this role
About the Role
Syscort Technologies seeks a Principal Solution Architect to lead client-facing discovery and advisory engagements for data unification and lakehouse architecture.
Key Skills for This Role
Responsibilities
- Lead stakeholder workshops with regional analytics, marketing, and e commerce leads to map current data landscape
- Classify data gaps precisely (connectivity, governance, or access) and assess existing platform capabilities
- Design end to end data unification architecture spanning structured and previously missing sources
- Produce architecture blueprints, technical documentation, and a phased implementation roadmap
- Translate technical gaps into a business case with clear ROI framing tied to concrete use cases
- Act as the primary technical advisor to client's regional analytics/marketing leadership throughout discovery
- Convert discovery findings into a scoped, fixed fee proposal for the next phase
Requirements
- 10 15 years of experience in Solution Architecture, Data Engineering, or Analytics
- Direct experience with Databricks native ingestion and unification capabilities (Lakeflow Connect, Delta Lake, AI Search/RAG, Clean Rooms)
- FMCG/CPG or retail domain experience
- Proven discovery/advisory experience including workshop facilitation and business case development
- Working understanding of marketing/e commerce data landscape
- Strong executive communication skills
- Databricks certification preferred
- TOGAF or equivalent enterprise architecture certification preferred
Full Job Posting
Role Overview
- We are looking for a Principal Solution Architect — Data & Analytics to lead client facing discovery and advisory engagements focused on data unification, gap assessment, and lakehouse architecture extension.
- You will lead executive workshops, own the as is/to be assessment, and produce the roadmap and business case that becomes the implementation SOW.
Key Responsibilities
- Lead stakeholder workshops with regional analytics, marketing, and e commerce leads to map current data landscape.
- Classify data gaps precisely — connectivity, governance, or access — since each has a different fix and cost.
- Assess existing central platform capabilities to determine what can be extended vs. what needs new tooling.
- Design end to end data unification architecture spanning structured and previously missing sources.
- Favor native platform capabilities over third party tooling to avoid unnecessary tool sprawl.
- Produce architecture blueprints, technical documentation, and a phased implementation roadmap.
- Translate technical gaps into a business case with clear ROI framing tied to concrete use cases.
- Define success metrics and phased delivery plan.
- Act as the primary technical advisor to the client's regional analytics/marketing leadership throughout discovery.
- Convert discovery findings into a scoped, fixed fee proposal for the next phase.
Required Skills & Experience
- 10–15 years of experience in Solution Architecture, Data Engineering, or Analytics, with genuine depth in at least one modern lakehouse/cloud data platform (Databricks strongly preferred; Microsoft Fabric, Snowflake, Azure Data Services acceptable).
- Direct experience with Databricks native ingestion and unification capabilities (Lakeflow Connect, Delta Lake, AI Search/RAG, Clean Rooms).
- FMCG/CPG or retail domain experience — comfortable with SKU/product master data, trade promotion structures, and regional vs global data ownership models.
- Proven discovery/advisory experience — workshop facilitation, as is/to be mapping, business case and ROI development.
- Working understanding of the marketing/e commerce data landscape (ad platform APIs, marketplace seller APIs, social listening tools).
- Strong executive communication — able to engage credibly with both technical stakeholders and commercial sponsors.
Preferred Qualifications
- Databricks certification (Solutions Architect or equivalent).
- Experience with clients running centralized global data platforms with regional onboarding gaps.
- TOGAF or equivalent enterprise architecture certification.
- Prior experience shaping the business case for data/analytics engagements that convert from paid discovery into full implementation.
Success Measures
- Accurate gap classification (connectivity vs. governance vs. access) validated by the client.
- Roadmap and business case that converts into a signed implementation engagement.
- Architecture recommendations that align with, rather than duplicate, the client's existing platform investment.
- Client trust — measured by willingness to expand scope after Phase 1.
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