Specialist Solutions Architect - Data Warehousing (Healthcare & Life Sciences)

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Migrations Solutions Architect, Sales to join our Services Delivery Migrations team in Australia. In this role, you will own the end-to-end pre-sales migration motion for Snowflake across Australia — shaping opportunities, scoping complex workloads, and driving technical and economic deal reviews. This is a high-visibility, strategic individual contributor role at a company leaning hard into AI-accelerated migrations. The person we're looking for is a data specialist, technically deep, commercially sharp, and customer-obsessed. You are energized by the challenge of translating complex legacy data environments into compelling migration strategies, and you know how to bring both executives and engineers along for the ride. You thrive at the intersection of pre-sales and delivery, and you're excited to apply AI-first tooling to change what's possible in migration speed and scale. Hybrid working between home and office, with travel for customer workshops and team engagements as needed within Australia and APJ region. Must have full working rights within Australia. AS A MIGRATIONS SOLUTIONS ARCHITECT, SALES, YOU WILL: * Own the full pre-sales migration cycle for Australia: opportunity shaping, technical scoping, effort estimation, and economic deal reviews * Act as the primary technical advisor to customers evaluating Snowflake migration — engaging both technical and executive stakeholders with clarity and confidence * Partner with APJ sales executives and account teams on migration opportunity development and overall account strategy * Apply AI-first tooling — SnowConvert (deterministic) paired with Cortex Code (LLM-powered) — to accelerate migration assessments, delivery estimations, and proposal quality * Scope ETL and data migration complexity across a range of legacy tools and platforms (Informatica, SSIS, Teradata, Netezza, etc.) * Collaborate with Practice Directors and Practice Managers to develop proposals, Statements of Work, and migration delivery plans for both packaged and custom engagements * Hands-on delivery of customers migrations to the Snowflake AI Data Cloud (Approximate 60/40 split Migration Sales/Delivery) * Contribute to APJ Migrations team capability by sharing patterns, playbooks, accelerators developed through customer engagements * Build trust and credibility through on-site workshops, architecture reviews, and technical demonstrations * Collect and communicate themes from customer engagements to inform the evolution of Snowflake's migration service offerings * Create and sharpen repeatable assets — scoping frameworks, estimation models, and delivery documentation — that scale the team's capacity OUR IDEAL MIGRATIONS SOLUTIONS ARCHITECT, SALES WILL HAVE: * 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) * Familiarity with legacy ETL tools such as Fivetran, Informatica and IBM Datastage experience particularly valued * 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. BONUS POINTS FOR: * 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) WHY THIS ROLE? * Own the motion. You'll define how Snowflake approaches migration pre-sales across Australia — a greenfield, high-impact mandate. * Shape the future. Direct line to leadership, player-coach potential, and room to influence how the APJ Migrations team scales. * Work with cutting-edge tooling. Apply SnowConvert + Cortex Code to bring AI-accelerated migration to customers at scale. * Join a team that's building something. This is a strategic investment in a market where Snowflake is leaning in hard — and you'll help lead it. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

FEQ327R455 - DNB FEQ327R257 - Emerging FEQ327R204 - FinS As a Specialist Solutions Architect (SSA) - Data Engineering and Warehousing, you will guide customers through cloud data engineering transformations across a wide variety of use cases. In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successfully plan production for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform. As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty. The impact you will have: * Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads. * Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization. * Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization. * Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows. * Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures. * Provide tutorials and training to improve community adoption (including hackathons and conference presentations). * Contribute to the Databricks Community. What we look for: * 5+ years of experience in a technical role with deep expertise across the following areas: * Software / Data Engineering: Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions. * Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV). * Data Warehousing: Advanced query tuning, troubleshooting, data governance, and debugging MPP data warehouses or big data solutions. Experience migrating workloads from EDW systems (e.g., traditional SQL, Redshift, Snowflake, Synapse, EMR) across OLAP & OLTP workloads. * Data Observability: Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection. * Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs. * Deep expertise across multiple core data engineering domains, including: * Designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in cloud environments. * Building and migrating large-scale data pipelines, including batch, CDC (Change Data Capture), and streaming ingestion. * Migrating on-premises or Hadoop-based data systems to modern cloud platforms (AWS, Azure, GCP). * Developing and managing modern lakehouse and warehouse systems, including Delta Lake technologies, data modeling, governance, and BI integration. * Production programming experience in SQL and at least one of the following: Python, Scala, or Java. * Strong familiarity with cloud infrastructure providers (AWS, Azure, or GCP) is highly desirable. * Degree or Equivalent: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. * [Preferred] Prior customer-facing experience in a pre-sales or post-sales technical role. * Ability to meet expectations for technical training and role-specific milestones within 6 months of hire. * Willingness to travel up to 30% as needed.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.