Presales Solutions Architect – Data Engineering

Distillery is seeking a Presales Solutions Architect – Data Engineering to spearhead the company’s data strategy and guide successful delivery of data engineering and analytics engagements. This role involves leading client conversations, shaping opportunities, and ensuring that engagements deliver real business impact.

Responsibilities:

• Lead executive-level conversations with clients around data strategy, analytics maturity, and data-driven transformation
• Act as a trusted advisor to senior stakeholders (CTO, Head of Data, Analytics, Product, Business Leaders)
• Diagnose client data challenges, operating models, and organizational readiness
• Define clear data roadmaps aligned to business outcomes
• Shape scope, approach, and solution positioning to support revenue growth and delivery success
• Actively drive data-related opportunities from early discovery through deal closure
• Partner with Sales to close complex data engagements
• Influence pricing, team composition, and delivery approach
• Define high-level data architectures and solution approaches covering ingestion, transformation, analytics, and BI layers
• Provide technical direction during early delivery phases to ensure architectural integrity and execution alignment
• Step in hands-on when required for critical design decisions or complex technical challenges
• Provide technical oversight during kickoff and early delivery phases to ensure continuity from what was sold to what is delivered
• Partner with delivery leadership and engineering teams to validate assumptions and mitigate early risks
• Gradually transition ownership to delivery teams once the engagement is stable and aligned
• Play a leading role in defining Distillery’s data consulting offerings, methodologies, and go-to-market narrative
• Contribute to internal reference architectures, frameworks, and accelerators
• Support development of thought leadership and client-facing data narratives
• Help elevate overall data consulting maturity across the organization
• Leverage relationships with cloud, data platform, and analytics partners to strengthen solution credibility and accelerate deal cycles
• Support co-selling, joint solution design, and partner-led initiatives

Requirements:

• 10+ years of experience in data engineering, analytics, or data consulting
• Proven track record in client-facing consulting roles with commercial responsibility
• Strong hands-on background in modern data stacks: Cloud data platforms (Snowflake, BigQuery, Redshift, Databricks), Data pipelines and orchestration (dbt, Airflow, Spark, etc.), Analytics and BI ecosystems
• Experience shaping and closing complex data consulting engagements
• Comfortable operating across strategy, sales, and delivery contexts
• Experience in Professional Services or Consulting environments is mandatory
• Exceptional communication and executive presence