Most Snowflake accounts are bleeding credits — oversized warehouses, runaway tasks, full-table scans on partition-prunable data, and dbt jobs that stayed on the wrong materialization for a year. We'll fix that. We also build the modern stack right the first time: dbt models that earn their incremental, Snowpark pipelines, and Cortex AI features that actually ship.
$22/hr
SnowPro-certified engineer
5 days
Free credit + model audit
30–55%
Typical month-1 credit cut
Cost out of control, dbt project a mess, governance behind, or net-new build — we'll match a senior engineer in 24 hours.
Replies in 4 hours · NDA on request
Six engagement patterns we run constantly. Pick the one that matches the data problem in front of you.
Warehouse right-sizing, multi-cluster strategy, query refactor, materialization tuning, abandoned task cleanup, and tagged cost dashboards. Typical 30–55% credit reduction in month one.
Warehouse architecture (medallion, dimensional, or Data Vault), dbt project from staging through marts, source freshness checks, dbt-expectations data quality, and CI gating every PR.
From Redshift, BigQuery, Synapse, Teradata, or Hadoop. Schema conversion, performance equivalence testing, dbt rewrite of stored procedures, cutover with parallel run, and decommission.
ELT-as-code in Snowpark Python, ML inference inside the warehouse, Streamlit-in-Snowflake apps for analyst copilots, internal admin tooling, and lightweight data products.
LLM functions (SUMMARIZE, COMPLETE, TRANSLATE, EXTRACT_ANSWER), Cortex Search for governed RAG, Cortex Analyst for natural-language SQL, and copilot patterns wired to your data marts.
Horizon Catalog setup, tag-based masking, row access policies, lineage dashboards, Marketplace listings, and secure data clean rooms for partner analytics.
Snowflake-native plus the modern data stack around it. We're fluent in the tools, opinionated about which ones to use.
Five days of audit before any opinion. We'll show you the credit waste, the model debt, and the governance gaps — then propose a sized program.
Senior engineer profiles credit consumption, query patterns, warehouse strategy, dbt project (if applicable), governance posture. Output: top-10 wins + remediation plan.
Warehouse right-sizing, multi-cluster swaps, kill abandoned tasks, fix three worst queries. Measurable credit savings in week one — typically 15–25% just from quick wins.
Data pod (lead + engineers) executes the full plan — model refactor, dbt rebuild, governance rollout, Snowpark / Cortex features. Two-week sprints with demos.
Transition to fractional data engineer — 1–2 senior engineers on retainer for new marts, performance tuning, and Snowflake release evaluation.
Three engagement models. Free audit because every account has waste — we'd rather quantify it than pitch you.
5 days
Free
Senior engineer + your data team. Credit, model, governance scorecard. Top-10 wins. No commitment.
Build → Stabilize
$12K – $40K/mo
Lead + engineers (functional + Snowpark). Full remediation, modeling, governance, AI features. Fixed monthly burn.
Monthly retainer
$22 – $55/hr
Steady-state. Senior engineers on retainer for new marts, tuning, governance, and Snowflake release evaluation.
We're engineers who happen to love Snowflake — not Snowflake fans pretending to be engineers.
Every line of SQL we touch comes with credit math. Cost is a first-class metric, not an afterthought.
Layered, tested, documented dbt projects. No 800-line stored procs masquerading as data products.
We work with Cortex AI, Iceberg tables, hybrid tables, and the latest Horizon Catalog features as they ship.
Tag-based masking, row access policies, and lineage from day one — not a year-two retrofit when audit calls.
Yes. Every engineer holds at minimum SnowPro Core. Most carry SnowPro Advanced — Architect, Data Engineer, or Data Analyst. Senior engineers carry SnowPro Specialty in Administrator, Generative AI, or Data Cloud Deployment Framework. We work on Snowflake Standard, Enterprise, and Business Critical editions across AWS, Azure, and GCP.
Yes — and it’s usually our first engagement. Typical month-1 wins: right-size warehouses (most are oversized X-Large running idle), suspend on idle and resize for actual peak, switch to multi-cluster with auto-scale rather than static large warehouses, refactor long-running queries (look-aside SAM patterns, partition pruning, pre-aggregation), kill abandoned tasks and streams, and tune materialized views vs result cache trade-off. Typical 30–55% credit reduction in 4 weeks with no pipeline regressions.
Yes. Modern data stack done right — dbt Core or dbt Cloud, source freshness checks, Snowflake-native data quality with dbt-expectations or Great Expectations, layered models (staging → intermediate → marts), incremental strategies tuned for cost (merge vs delete-insert), exposures wired to BI, and CI on every PR with dbt-checkpoint. We use Fivetran or Airbyte for ingestion, Dagster or Airflow for orchestration when dbt isn’t enough.
Yes. Snowpark Python and Scala for ELT-as-code and ML inference inside the warehouse. Streamlit in Snowflake for internal data apps without a separate hosting layer. Cortex AI for embedded LLM functions (SUMMARIZE, TRANSLATE, COMPLETE) and Cortex Search for RAG over your governed data. We’ve shipped Cortex-powered analyst copilots and Snowpark feature pipelines for production ML.
Yes. Snowflake Data Sharing for inbound and outbound shares, listings on Snowflake Marketplace, secure data clean rooms for partner analytics without sharing raw data, and reader accounts for partners not on Snowflake. Cross-region and cross-cloud replication for global data products. We design the share governance model — masking policies, row access policies, and tag-based policies.
Snowflake Horizon Catalog for unified governance — object tagging, masking policies, row access policies, data quality monitors, and access history. Tag-based masking so policy follows the data. Lineage from raw → staging → marts → exposures via dbt + Snowflake. SCIM-driven identity from Okta / Entra ID. SOC 2 / HIPAA / PCI alignment depending on edition.
Senior SnowPro Core engineers from $22/hr, SnowPro Advanced specialists from $30/hr, principal-level data architects from $45/hr. Most engagements run as a 2–4 person data pod billed monthly ($12K–$40K/month) for a defined program (warehouse modeling, FinOps overhaul, dbt build, governance rollout). Free 5-day Snowflake audit before any commitment.
We'll send a SnowPro-certified senior engineer, profile your account, and hand you a remediation plan with measured savings by Friday.