Data Engineering

Data Warehouse & Lakehouse

Choosing the right data platform architecture is a multi-year commitment. We help organizations design, implement, and migrate to modern data warehouses and lakehouse architectures that match their query patterns, team skills, and cost profile.

5x

Query Performance Improvement

60%

Storage Cost Reduction

12 Weeks

Avg Migration Timeline

What We Deliver

Data Warehouse & Lakehouse Services

Practical, production-ready work — not proofs of concept that never make it to real users.

Architecture Design

Platform selection, dimensional modeling, zone architecture (raw, curated, semantic), and access control design for your query workloads.

Snowflake Implementation

Snowflake environment setup including virtual warehouse sizing, resource monitors, data sharing, and cost governance.

Databricks Lakehouse

Delta Lake architecture on Databricks with Unity Catalog governance, optimized table formats, and ML workspace integration.

Migration Services

Migration from on-prem data warehouses, Hadoop clusters, or legacy cloud platforms with schema translation and validation.

How We Engage

Common Engagements

01

On-Prem to Cloud Migration

Migrate a Teradata or Hadoop data warehouse to Snowflake or BigQuery with full schema translation and pipeline rebuild.

02

Lakehouse for ML

Unified lakehouse architecture on Databricks that serves both BI analysts and ML teams from a single governed data layer.

03

Multi-Cloud Data Platform

Data platform design that replicates critical data across cloud providers for disaster recovery and regional latency requirements.

04

Startup Data Foundation

Greenfield modern data stack for a growth-stage company that needs to go from raw event data to business dashboards quickly.

Why InnovTen

What You Can Count On

  • Architecture sized to your actual query volume and growth trajectory, not theoretical maximums
  • Cost governance built in from day one with alerting on unexpected spend
  • Separation of compute and storage that eliminates contention between workloads
  • Data sharing capabilities that reduce duplicate pipelines across teams
  • Migration approach that keeps production analytics running during transition

Technologies We Use

Snowflake Databricks BigQuery Redshift Delta Lake Apache Iceberg dbt Terraform

Ready to Get Started?

Tell us about your project and we'll put together a practical path forward.

Talk to Our Team