Snowflake development and consulting services
Snowflake development and consulting: data warehouse design and implementation, ingestion with Snowpipe and Openflow, dbt and dynamic table transformations, migrations from Teradata, Oracle, SQL Server and Redshift, Snowpark and Cortex AI, data sharing, security and cost optimisation, with dedicated Snowflake developers for your team or a Snowflake project delivered end to end.
What we build with Snowflake
Snowflake account and warehouse design
Databases, schemas, roles and warehouses created in Terraform, raw, cleaned and business-ready layers modelled as star schemas or Data Vault, zero-copy clones for test environments, and Apache Iceberg tables where other engines must read the same data.
Snowpipe and Openflow ingestion
Bulk loads with COPY INTO, continuous loads with Snowpipe and Snowpipe Streaming, and databases and SaaS applications connected through Openflow, Snowflake’s managed integration service built on Apache NiFi, or through Fivetran and Airbyte.
dbt and dynamic tables
Transformations in dbt, run from your orchestrator or as dbt Projects on Snowflake, dynamic tables that refresh to a target lag, and streams and tasks for change-driven processing, with tests on every model in CI.
Migrations to Snowflake
Teradata, Oracle, SQL Server, Amazon Redshift, Azure Synapse, BigQuery and Db2 workloads converted with SnowConvert AI and finished by hand, data moved in rehearsed runs, and every table reconciled before reports are switched over.
Snowpark and Python in Snowflake
Data processing, feature engineering and model training in Snowpark Python and Snowflake ML, user-defined functions and stored procedures in Python, Java or SQL, and internal tools built as Streamlit in Snowflake apps, all running next to the data.
Cortex AI on Snowflake
Cortex AI Functions for classification, extraction and summaries in SQL, Cortex Search for retrieval over documents, Cortex Analyst answering plain-language questions over semantic views, and Cortex Agents and Snowflake CoWork (formerly Snowflake Intelligence) for business users.
Snowflake security and access
A role hierarchy with least-privilege grants, masking and row access policies for personal data, network policies and private connectivity, Trust Center checks, and service users moved from passwords to key-pair or OAuth sign-in, which Snowflake now requires.
Snowflake credit and cost control
Credits broken down by warehouse, query and team from the account usage views, then reduced with right-sized warehouses, short auto-suspend, Gen2 warehouses where queries finish sooner, clustering only where it pays, and resource monitors and budgets with alerts.
Data sharing and Native Apps
Governed data shared with customers and partners through Secure Data Sharing and Snowflake Marketplace listings, data clean rooms for joint analysis without exposing raw records, and products built on the Snowflake Native App Framework.
Hire Snowflake developers
Dedicated Snowflake developers
Snowflake developers who join your team full time, work in your repositories, tracker and meetings, and report to your lead. You interview them; we carry the Ukrainian contract, payroll, invoicing and leave.
Snowflake project delivery
A team that takes the Snowflake project from scope to release: estimate, build, tests and deployment, with a technical lead on our side who owns the plan and the quality.
Snowflake support and take-overs
An existing Snowflake system taken over from another team or kept running: a read-only review and a written list of risks first, then fixes and new features in order of impact.
The dedicated team page explains how specialists join your team, and the outsourcing page covers project delivery, take-overs and how we charge.
Who works on your Snowflake project
Snowflake developers
SQL, Snowpark, ingestion and performance
Data engineers
Pipelines, orchestration and migrations
Analytics engineers
dbt models, semantic views and tests
BI developers
Power BI, Tableau and Looker on top of Snowflake
Cloud and DevOps engineers
Terraform, private networking and CI/CD
Fast queries, predictable bills
Snowflake bills for the seconds a warehouse runs, so design and cost are decided together: warehouses sized per workload and suspended soon after they go idle, heavy queries reviewed in the query profile, incremental models in place of full rebuilds, and a cost report per team from the first month.
Everything is code: roles, grants, warehouses and policies in Terraform, transformations in dbt with tests in CI, and deployments through GitHub Actions or Azure DevOps that sign in as service users with keys or OAuth, never with a shared password.
Other data and AI services we provide
AI and machine learning
AI and machine learning development services: forecasting, fraud detection, recommendation systems, computer vision, NLP and speech recognition, and MLOps, with dedicated machine learning engineers or project delivery.
Generative AI development
Generative AI development services: RAG over your documents, AI agents, chatbots, LLM features, document processing, fine-tuning, evaluation and voice agents, with dedicated AI developers or project delivery.
Data engineering
Data engineering services: ETL pipelines, Spark, dbt and streaming, warehouses and lakehouses on Snowflake, Databricks, BigQuery, Redshift and Microsoft Fabric, with dedicated data engineers or project delivery.
Data analytics and Power BI
Data analytics and Power BI services: dashboards in Power BI, Tableau and Looker, product analytics, A/B testing, financial and marketing reporting, with dedicated data analysts and BI developers or project delivery.
Database development
Database development and administration services: schema design, query tuning, migrations and backups on SQL Server, PostgreSQL, MySQL, Oracle and MongoDB, with dedicated database developers and DBAs or project delivery.
Computer vision development
Computer vision development services: object detection, visual inspection, OCR, video analytics, medical imaging and models on edge devices, with dedicated computer vision engineers or project delivery.
Data annotation
Data annotation and labelling services for AI: image, video, text, audio and LiDAR labelling, RLHF and evaluation data, with quality control on every batch, from dedicated data annotators or project delivery.
MLOps
MLOps services and consulting: ML platforms, CI/CD for models, model registries, serving and autoscaling, GPU infrastructure, drift monitoring and LLMOps, with dedicated MLOps engineers or project delivery.
Databricks development
Databricks development and consulting: lakehouse set-up, Lakeflow pipelines, Unity Catalog, migrations, AI/BI, machine learning and cost control, with dedicated Databricks engineers or project delivery.
Kafka and event streaming
Apache Kafka development and consulting: event-driven architecture, Kafka Connect and Debezium, Flink and Kafka Streams, Confluent Cloud, MSK and Event Hubs, with dedicated Kafka engineers or project delivery.
Workflow automation
Workflow and AI automation services: n8n, Make, Zapier and Power Automate flows, AI agents in workflows, CRM, finance and document automations, with dedicated automation developers or project delivery.
Questions about Snowflake development
Which industries do your Snowflake developers work in?
Fintech, banking and insurance, for finance, risk and regulatory reporting; e-commerce and retail, for sales, inventory and customer data; enterprise SaaS, for product usage data and analytics inside the product; AI and data products, including data sold or shared through the Marketplace; healthcare, for claims and clinical data under masking policies; advertising and marketing, for audience data and clean rooms; and logistics, for shipment and supply chain data.
Can you move us to Snowflake from Teradata, Oracle or SQL Server?
Yes. SnowConvert AI converts most of the schema, SQL and stored procedures, and engineers finish and test the rest by hand. Data moves in rehearsed runs, every table is reconciled by row counts and totals, and reports are switched over one group at a time.
How do you reduce a Snowflake bill?
By measuring first: credits per warehouse, query and team from the account usage views. The usual causes are oversized or always-on warehouses, full rebuilds that could be incremental, and dashboards refreshing far more often than anyone reads them, and each fix is measured before and after.
How quickly can Snowflake developers start?
When the right Snowflake developer is available, the start is gated only by your interview and the NDA and IP assignment. Otherwise we run a search, which typically produces candidate profiles within two to three weeks, and nobody starts until you have said yes.
How do we hire Snowflake developers through BigTree108?
Tell us the work, the seniority and the hours you need. We propose one or two people with their profiles, you interview them the way you would interview your own hire, and you sign one agreement with BIG TREE 108 LLC and receive one invoice a month.
Who owns the work they produce?
You do. Every specialist has a signed contract with BigTree108 that assigns all work product to the company, and our agreement with you assigns it onward. Code, designs and documents are delivered into your own repositories and tools, not kept where only we can change them.
Building on Snowflake or paying too much for it?
Tell us your sources, your workloads and what Snowflake costs you today. You get an answer within one business day: a plan, a cost review, or candidate profiles.