Migrations Solutions Architect, Sales

Snowflake Snowflake · Data AI · Sydney, Australia · Professional Services

This role is for a Migrations Solutions Architect, Sales, who will own the end-to-end pre-sales migration motion for Snowflake in Australia. The role involves shaping opportunities, scoping complex workloads, and driving technical and economic deal reviews, with a focus on using AI-first tooling like Cortex Code to accelerate migration assessments and delivery.

What you'd actually do

  1. Own the full pre-sales migration cycle for Australia: opportunity shaping, technical scoping, effort estimation, and economic deal reviews
  2. Act as the primary technical advisor to customers evaluating Snowflake migration — engaging both technical and executive stakeholders with clarity and confidence
  3. Partner with APJ sales executives and account teams on migration opportunity development and overall account strategy
  4. Apply AI-first tooling — SnowConvert (deterministic) paired with Cortex Code (LLM-powered) — to accelerate migration assessments, delivery estimations, and proposal quality
  5. Scope ETL and data migration complexity across a range of legacy tools and platforms (Informatica, SSIS, Teradata, Netezza, etc.)

Skills

Required

  • University degree in computer science, engineering, mathematics, or a related field — or equivalent experience
  • Minimum 8 years of experience in a solutions architect, data architect, or data engineering role, with significant exposure to data warehouse migration
  • Demonstrated pre-sales or solution engineering experience: scoping, estimating, and presenting migration proposals directly to customers
  • Hands-on experience with SQL, ETL transformation, and cloud data warehousing (Snowflake strongly preferred)
  • Experience with at least one major cloud platform (AWS, Azure, or GCP)
  • Customer-facing presence: can lead scoping conversations, influence technical and executive stakeholders, and close with confidence
  • AI-first mindset — experience applying LLMs, automation, or code generation tooling to engineering or delivery problems, working smart to accelerate technical delivery while mitigating AI-related delivery risks.
  • Strong understanding of the complete data analytics stack: from ETL/ELT through platform design to BI and analytics consumption
  • Impeccable communication skills — written, visual, and oral — across audiences from hands-on engineers to C-suite
  • Highly self-motivated and driven to succeed and operate within a high performance, customer-obsessed culture.

Nice to have

  • Hands-on experience with SnowConvert, Cortex Code, or similar migration acceleration tooling
  • Experience with non-relational or big data platforms (Hadoop, HBase, Spark)
  • Data expertise and pre-sales exposure working within Cloud Hyperscalers (AWS, Azure, GCP)
  • Big 5 or boutique consulting background with enterprise pre-sales exposure
  • Expertise in a core vertical such as Financial Services, Retail, Healthcare, or Life Sciences
  • Current certifications in cloud provider (AWS, Azure, GCP) or cloud data technologies (Snowflake, BigQuery, Redshift, Synapse, Databricks)
  • Familiarity with BI and data exploration tools (Tableau, Looker, MicroStrategy)
  • Familiarity with legacy ETL tools such as Fivetran, Informatica and IBM Datastage experience particularly valued

What the JD emphasized

  • AI-first tooling
  • AI-accelerated migrations
  • LLM-powered
  • AI-first mindset