We are seeking a Senior Data Architect with deep hands‑on expertise in Databricks and/or Snowflake to support both pre‑sales and delivery within our services organization. This role combines solution architecture, client engagement, delivery leadership, and AI‑focused data strategy. Expected time split: 40% sales support, 60% delivery.

Key Responsibilities

• Support sales by shaping solutions, responding to RFPs/RFIs, and presenting demos and architectures.
• Partner with senior client stakeholders to define data strategy, platform design, and technology direction.
• Lead end‑to‑end data platform implementations on Databricks/Snowflake, ensuring scalable and high‑quality delivery.
• Align data architecture with AI/ML initiatives and guide clients on data readiness for AI.
• Mentor and develop data engineering and architecture teams.
• Contribute to internal best practices, reference architectures, and reusable assets.

The Pre-requisites

• 15+ years in data architecture or data engineering.
• Proven consulting/services experience and ability to influence senior client stakeholders.
• Strong pre‑sales experience including solution creation and RFP responses.
• Hands‑on leadership of large data platform implementations
• Deep expertise in Databricks and/or Snowflake.
• Strong cloud knowledge (AWS, Azure, or GCP).
• Data modelling, Spark, SQL, ETL/ELT, and orchestration tools.
• Understanding of data governance, security, and modern data platform design.
• Knowledge of AI/ML requirements and how data platforms enable them.

Preferred Skills

• Experience with lakehouse architectures, MLflow, Delta Lake, Snowpark, Snowpipe, or similar.
• Knowledge of MLOps, data observability, DevOps/CI-CD, and BI tools.
• Cloud or platform certifications.
• Excellent communication, client‑facing abilities, and solution articulation.
• Hands‑on, consultative, and able to lead teams and delivery.