Hire Pre-Qualified Snowflake Developers and Architects
Snowflake talent is scarce — especially engineers who understand multi-cloud deployment, Snowpark, and performance optimization at scale. Our consulting-led matching delivers curated Snowflake profiles in an average of 4.3 days.
Why Snowflake talent is hard to find
Snowflake has grown from a cloud data warehouse into a full data platform — Data Cloud, Snowpark for Python and Java workloads, Streams and Tasks for near-real-time processing, dynamic tables, and native app development. The talent market hasn't kept up. Most "Snowflake developers" on the market know basic SQL queries against Snowflake tables. Finding engineers who can architect multi-cluster warehouses, optimize credit consumption, build Snowpark pipelines, and implement zero-copy data sharing across business units — that's a different search entirely.
The challenge is compounded by certification gaps. Snowflake's ecosystem is maturing fast: Cortex AI functions, Iceberg table support, and the Marketplace are all areas where experienced practitioners are rare. Generalist staffing firms don't have the domain depth to evaluate whether a candidate actually understands Snowflake internals or just has it listed on a resume.
That gap means longer hiring cycles and higher project risk for companies building on the Snowflake Data Cloud. Xylity's consulting-led matching closes the gap by sourcing from 200+ curated delivery partners who specialize in modern data platforms.
Whether you need a Snowflake architect to design your data mesh, a data engineer to build Snowpipe ingestion pipelines, or an analytics engineer to optimize your dbt + Snowflake workflow — Xylity's 4-stage evaluation ensures every profile has been tested against real Snowflake scenarios before you see it.
Snowflake specialists ready for your projects
Every role is sourced from our network of 200+ curated delivery partners and evaluated through a scenario-based technical process specific to Snowflake.
Snowflake Architect
Designs multi-cluster warehouse architecture, data sharing strategies, access control frameworks, and cost optimization models. Leads platform-level decisions for enterprise Snowflake deployments.
Snowflake Data Engineer
Builds and maintains ELT/ETL pipelines using Snowpipe, Streams, Tasks, and dynamic tables. Implements data ingestion from multiple sources and optimizes query performance and credit consumption.
Snowflake Analytics Engineer
Builds semantic layers, develops dbt models, creates materialized views, and optimizes reporting workloads. Bridges the gap between raw data engineering and BI consumption.
Snowflake Migration Specialist
Migrates workloads from legacy warehouses — Teradata, Oracle, Netezza, Redshift — to Snowflake. Handles schema conversion, stored procedure translation, performance validation, and parallel testing.
Snowpark Developer
Builds Python, Java, and Scala workloads that run natively inside Snowflake. Develops stored procedures, UDFs, and ML pipelines using Snowpark — eliminating the need to move data out for processing.
Snowflake DBA / Admin
Manages Snowflake account configuration, warehouse sizing, resource monitors, access policies, and credit budgets. Ensures governance, security, and cost control across multi-department deployments.
Mid-market insurer needed 2 Snowflake engineers for a Teradata migration — on a 3-week deadline.
An IT services partner won a data warehouse migration deal with a regional insurance company — 15TB Teradata environment moving to Snowflake. The client's deadline was aggressive: migration planning had to start within 3 weeks or the project would slip a quarter.
The partner had strong Snowflake knowledge but their bench was fully committed. They needed two senior Snowflake data engineers with specific Teradata-to-Snowflake migration experience — not generic cloud engineers.
Xylity sourced from our data engineering partner network. Within 4 days, we delivered 3 curated profiles — all with prior Teradata migration experience. The partner selected 2, both passed client interviews on first attempt, and migration planning started on schedule.
Six months later, the same partner has used Xylity for 4 additional Snowflake placements across two other client accounts.
Need Snowflake talent?
Tell us the role.
Share the role, the Snowflake workload, and the timeline. We'll deliver curated profiles from our network of 200+ delivery partners — in an average of 4.3 days.