phData
Pure-play data engineering, analytics, and AI consultancy. Snowflake Elite Services Partner and six-time consecutive Snowflake Americas Partner of the Year (2020–2025). AWS Premier Tier Services Partner (achieved April 2026). Also recognized as dbt Labs 2024 and 2025 Global Services Partner of the Year. Best fit for enterprises modernizing data platforms — migrations, DataOps, ML/MLOps — on Snowflake, AWS, or Azure. Not a general cloud infrastructure or security firm.
Summary
phData is a Snowflake Elite & Data Platform Specialist firm (~800–1,000 employees (680 LinkedIn, ~968 Revelio Labs estimate, April 2026); global delivery across US, India, and LATAM) focused on Data Engineering and Machine Learning / MLOps across AWS/Azure/GCP, with delivery experience in Financial Services and Manufacturing.
Last reviewed: 2026-05-23 · Cloud Intel — independent, no paid placement
phData Analysis
✓ Strengths
- • Six consecutive Snowflake Americas Partner of the Year wins (2020–2025) — the only partner with this streak; confirmed at Snowflake Summit 2025
- • More Snowflake Advanced certifications than any other partner (547 SnowPro Core + 88 Advanced as of Snowflake's own partner listing); firm targets 100% technical-staff SnowPro Core coverage
- • dbt Labs Global Services Partner of the Year, 2024 and 2025 — reinforces depth in dbt-based transformation layer used alongside Snowflake
- • AWS Premier Tier Services Partner status achieved April 2026 (upgraded from Advanced); multi-year Strategic Collaboration Agreement (SCA) with AWS signed February 2026
- • Elastic Operations model provides 24×7 managed DataOps and MLOps — differentiated vs. project-only competitors; self-reported 98% renewal rate
- • Proprietary phData Toolkit (Tram, Elastic Platform Monitoring) accelerates Snowflake deployments and reduces migration friction
- • Eight consecutive Best Places to Work designations; global delivery (US, India, LATAM) provides scale and coverage
⚠ Considerations
- • Data/Snowflake specialist, not a general cloud MSP — buyers needing broad cloud infrastructure, networking, security, or multi-cloud management should look elsewhere
- • Pricing is opaque beyond the published $20K–$50K POC floor; full platform or migration engagements are quoted individually with no public rate card
- • Gryphon Investors completed a majority growth investment in December 2024 — PE ownership introduces typical scale-over-quality risks; verify team continuity post-deal
- • Headcount grew ~39% YoY to ~800–1,000 in 2025–2026; rapid scale can affect consistency across delivery teams — interview the named technical lead before signing
- • No verified Clutch or G2 client review profile found; third-party client reviews are limited compared to larger GSIs
Best Fit For
- ✓ Enterprises migrating from legacy warehouses (Teradata, Exadata, SAP HANA, Hadoop, Azure Synapse) to Snowflake
- ✓ Organizations building or modernizing data engineering pipelines using dbt, Fivetran, and Snowflake
- ✓ Teams needing ML/MLOps infrastructure built and operationalized on Snowflake or AWS SageMaker
- ✓ Companies that want ongoing managed DataOps via Elastic Operations rather than one-off project delivery
- ✓ Manufacturing, healthcare, and financial services firms in the US mid-market or enterprise segment
phData Cloud Projects
Global Energy Leader — Azure Synapse to Snowflake Migration (500+ Tables)
Migrated 500+ IoT tables and 60 Synapse pipelines to Snowflake with dbt transformation logic. phData ran phased migration, rigorous validation, and upskilled client engineers for self-sufficient operation. Client subsequently re-engaged phData to migrate additional 600 tables and 500+ transformation pipelines.
- → On-time migration of 500+ tables and 60 pipelines with zero disruption to critical workflows
- → Client team became self-sufficient; scope expanded to 600 additional tables and 500+ transformation pipelines
Fortune 500 Medical Device Maker — Snowflake Platform Buildout
Migrated complex data ecosystem from Oracle Exadata and SAP HANA to Snowflake. Used phData Toolkit (Tram) to provision resources, manage user privileges, and monitor credits 24×7 via Elastic Operations. Included AWS and Dataiku integration for MLOps.
- → Added 7,000+ users, 100+ workspaces, 300+ databases, ~2,000 schemas, and ~10,000 roles
- → Saved thousands of dollars via automated 24×7 credit monitoring
Financial Services Leader — Data Strategy Assessment
12-week data strategy engagement for a financial services firm. phData delivered a 2-year transformation roadmap, identified migration savings from Alteryx to dbt-based architecture, and quantified revenue uplift opportunities from improved data governance.
- → $1.2M annual savings identified from migrating Alteryx workflows to dbt (cost reduced from ~$1.2M to $60–70K/yr)
- → $30M potential revenue uplift identified from asset-backed securitization improvements
- → $250K+ projected operational efficiency savings
phData Pricing Indication
Pricing varies based on project complexity, duration, and specific requirements. Contact the partner for a detailed quote.
Questions to Ask phData
Before engaging with phData, here are key questions to help you evaluate fit:
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Snowflake vs. Multi-Platform Scope: " Our data estate spans Snowflake and Azure Synapse — how does phData staff and price work that spans both platforms? Is the team equally senior on Azure as on Snowflake?"
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Elastic Operations Scope: " What is included in Elastic Operations versus billed separately? How are credit burn and cost overruns handled in the managed service agreement?"
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Team Continuity Post-PE Investment: " Since the December 2024 Gryphon Investors investment, have there been changes to senior delivery leadership or account team structure? Who will be our named technical lead and what is their current client load?"
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Headcount Growth & Delivery Consistency: " phData has grown ~39% in headcount over the past year. Can you show us the seniority profile of the team assigned to our project? What percentage will be engineers with 3+ years on Snowflake?"
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Toolkit IP & Portability: " Which phData Toolkit components (Tram, Elastic Platform Monitoring) will be used on our engagement? Do we retain access and documentation post-engagement, or does ongoing usage require a continued Elastic Operations relationship?"
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Client References: " Can you provide two or three references from clients in our industry who have completed Snowflake migrations of comparable scale? We'd like to ask them specifically about delivery consistency and what surprised them."
Red flags to watch for:
- ⚠ Proposing Snowflake for all workloads without assessing whether Databricks or another platform is a better fit for ML-heavy use cases
- ⚠ Vague Elastic Operations SLA — no named incident response time, no clear escalation path, no credit burn alert threshold defined in writing
- ⚠ New delivery team with limited Snowflake tenure assigned to a named account shortly after PE acquisition
- ⚠ Toolkit components presented as 'included' but actually licensed separately or requiring ongoing retainer to access
- ⚠ No attempt to transfer knowledge or build internal capability — pure dependency model for a customer that has stated self-sufficiency as a goal
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Related Research
phData — frequently asked questions
Is phData a good cloud consulting firm?
phData is a Snowflake Elite & Data Platform Specialist firm specializing in Data Engineering, Machine Learning / MLOps, Analytics & BI across AWS and Azure and GCP, with delivery experience in Financial Services and Manufacturing. Cloud Intel evaluates firms on partner tier, real case studies, and pricing transparency — not paid placement.
How much does phData cost?
phData operates in the $20K–$50K (POC/pilot) · $200K–$1M+ (full platform build or migration) · Elastic Operations retainer pricing varies by scope pricing range. Final cost depends on project scope, duration, and complexity — contact them directly for a tailored quote.
What is phData best known for?
phData specializes in Data Engineering, Machine Learning / MLOps, Analytics & BI with core delivery across AWS and Azure and GCP. Additional competencies include Data Strategy, DataOps, Managed Data Operations.
Which industries does phData serve?
phData primarily serves clients in Financial Services, Manufacturing, Healthcare & Life Sciences, Retail & CPG. Buyers in these verticals are typically well-matched to their delivery experience and existing case-study base.
Who should consider phData?
phData is a strong fit for: Enterprises migrating from legacy warehouses (Teradata, Exadata, SAP HANA, Hadoop, Azure Synapse) to Snowflake; Organizations building or modernizing data engineering pipelines using dbt, Fivetran, and Snowflake; Teams needing ML/MLOps infrastructure built and operationalized on Snowflake or AWS SageMaker.
Key Facts
- Headquarters
- Minneapolis, MN (400 S 4th St, Suite 401)
- Founded
- 2014
- Team Size
- ~800–1,000 employees (680 LinkedIn, ~968 Revelio Labs estimate, April 2026); global delivery across US, India, and LATAM
- Industries
- Financial Services, Manufacturing, Healthcare & Life Sciences, Retail & CPG
- Data Verified
- May 20, 2026
- Data Version
- Q2-2026
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