Snowflake data engineering: product-side buyers are named and verified, internal data-engineering buyers are thin and unconfirmed
1. Bottom line
Snowflake sells data engineering products, so a vendor selling into "data engineering" meets two different committees. The first is the internal data function, led by Chief Data & AI Officer Anahita Tafvizi and CIO Mike Blandina. The second is the product and engineering organisation under EVP Product Christian Kleinerman and SVP Engineering Vivek Raghunathan. My inference is that Tafvizi is the likeliest economic buyer for internal data tooling, because her team is described as Snowflake's own "customer zero". Raghunathan is the most visible technical sponsor on the engineering side, since he authored the TensorStax acquisition post on agentic data engineering. The main blocker risk is that Snowflake builds or acquires most pipeline tooling itself (Dynamic Tables, Openflow, Cortex Code), so a competing product is likely to be rejected. The best entry point is a complement that fills a gap in those products, pitched through the data-engineering product and partner channels or to the internal senior directors, whose current roles I could not verify.
2. Scope and assumptions
- Entity: Snowflake Inc. (NYSE: SNOW), the cloud data platform company. I found no other organisation by this name that fits the function.
- Interpretation of "data engineering": the request is ambiguous for a company that sells data engineering. I cover (a) the internal data and enterprise-IT teams that build Snowflake's own pipelines and (b) the product and engineering teams that build the data engineering features. Section 4 labels each person by side.
- Evidence standard: names and titles from Snowflake's own pages are High confidence. Names that come only from the People Data Labs (PDL) search tool are Low confidence, because I could not corroborate them with a dated public source. PDL records carry the date of last profile update, shown in the table.
- No angle supplied: the request named no product category, region or deal size, so the engagement plan is generic.
- Not covered: no contact details are given and nobody was contacted.
3. Function structure
No public org chart shows data engineering inside Snowflake. The hierarchy below is assembled from the leadership page and author pages. Links marked (inferred) are my reading of titles, not reported reporting lines.
CEO Sridhar Ramaswamy
├── EVP Product: Christian Kleinerman
│ └── VP Product, Data Engineering: Chris Child (role as of June 2025; current status unconfirmed) (inferred link)
├── SVP Engineering: Vivek Raghunathan
│ └── Data platform engineering (careers page lists Dynamic Tables, metadata and data lake roles; link to Raghunathan not stated) (inferred link)
├── CIO: Mike Blandina
│ └── Enterprise data engineering (senior director level, PDL only) (inferred link)
└── Chief Data & AI Officer: Anahita Tafvizi
└── Internal data and AI platform teams, "customer zero" (inferred link)
The leadership page lists Ramaswamy as CEO, Kleinerman as EVP Product, Raghunathan as SVP of Engineering and a CIO, and shows Blandina's portrait labelled as CIO. The careers page for the data platform group says the group builds pipeline infrastructure "from ingestion to transformation and beyond", and lists roles such as Engineering Manager, Dynamic Tables. The page carries a 2025 copyright date, so treat it as possibly stale.
4. Buying committee
| Name | Title | Likely role (inference) | Confidence | Key priorities | Evidence |
|---|---|---|---|---|---|
| Anahita Tafvizi | Chief Data & AI Officer | Economic buyer, internal data tooling | High on title | Snowflake as its own first customer; AI-ready data foundations | Snowflake author page, undated |
| Mike Blandina | Chief Information Officer | Economic buyer, enterprise IT and data platforms; possible blocker on security and procurement | High on title | Enterprise systems; ex-JPMorgan Chase payments CIO | Technology Magazine, 2 May 2025; leadership page |
| Christian Kleinerman | EVP, Product | Executive sponsor on product roadmap and partner decisions | High on title | Product roadmap including data engineering | Leadership page |
| Vivek Raghunathan | SVP of Engineering | Technical sponsor and champion for pipeline tooling; owner of build-versus-buy | High on title | Agentic AI for data engineering | Author page; TensorStax post, 4 Feb 2026 |
| Chris Child | VP of Product, Data Engineering (as of June 2025) | Champion for partner integrations; likely product owner for the category | Medium; current role unconfirmed | Release themes: Openflow, dbt Projects, Iceberg, Snowpipe Streaming (not his stated priorities) | Openflow press release, 3 June 2025 |
| Mark Kidwell | Senior director of enterprise data engineering | Internal technical evaluator or champion | Low (PDL, last updated October 2024) | Not found | PDL search result |
| James Isbell | Senior director, analytics and data engineering | Internal technical evaluator | Low (PDL, September 2025) | Not found | PDL search result |
| Satya Kota | Director, data engineering | Internal technical evaluator | Low (PDL, February 2025; possibly stale) | Not found | PDL search result |
| Kevin Hannon | Managing director, data engineering go-to-market | Field-side partner contact | Low (PDL, May 2025) | Not found | PDL search result |
| Field CTO data engineering architects (Sharvan Kumar, Yoav Ostrinsky, Daniel Chaffelson, Christoph Wiese) | Platform or principal architects, data engineering | Technical evaluators for partner fit | Low (PDL, dates from February 2024 to August 2025) | Not found | PDL search result |
The Low-confidence rows are leads to verify, not confirmed staff. PDL gave one entry (Mark Goh) whose listed LinkedIn address does not match the name, so I dropped it.
5. People profiles
- Anahita Tafvizi, Chief Data & AI Officer. Snowflake's author page says she has more than 20 years of experience leading data teams and that her team acts as customer zero for Snowflake's products. She co-authored a 10 March 2026 post on the return on generative and agentic AI that points to Cortex Code for data engineering teams. Approach her on measurable internal outcomes and on tooling that works with Snowflake's own stack, not as a replacement for it.
- Mike Blandina, CIO. He moved from JPMorgan Chase, where he was CIO for payments, and succeeded Sunny Bedi, who left after five years. The article is from May 2025, so confirm he is still in post. Expect IT-governance questions on security, vendor risk and cost.
- Christian Kleinerman, EVP Product. He is the senior owner of the product line. I did not find a recent first-hand statement from him on data engineering in the pages I read, so I rate him a sponsor to reach through the product team, not a first contact (inference).
- Vivek Raghunathan, SVP Engineering. His TensorStax announcement says teams were "running Airflow, dbt, Snowflake and other tools side by side" and that the main bottleneck for AI is the speed at which enterprises can author and maintain trusted pipelines. That shows he buys or builds capability at the pipeline layer when it fits the roadmap. A pitch must show why buying beats building.
- Chris Child, VP Product, Data Engineering. In the June 2025 Openflow release he said Snowflake is "redefining what open, extensible, and managed data integration looks like". A LinkedIn post dated 14 January 2026 from the search results still lists him as VP Product at Snowflake, but I did not open it, so I treat it only as a lead.
- Internal senior directors (Kidwell, Isbell, Kota). I have only PDL titles for these people. If they are still in post they would run day-to-day pipeline work for the internal team, and would be the technical evaluators. Verify each before outreach.
6. Function priorities and triggers
- AI-assisted pipeline building. The Summit 2026 smart pipelines post (10 June 2026) says Snowflake's Cortex Code agent uses 51% fewer tokens and 8% fewer steps than Claude Code on Opus 4.7 for data engineering tasks. The figures come from Snowflake's own post, so treat them as a company claim.
- Autonomous pipelines. The Dynamic Tables post (15 June 2026) reports up to 2.8x faster refresh from May 2025 to May 2026 (Snowflake's own benchmark), and pairs it with Gen2 warehouses.
- Open lakehouse and ingestion. The June 2025 Openflow release cites dbt Projects, Apache Iceberg support and Snowpipe Streaming.
- Acquisition appetite. TensorStax, acquired in February 2026, shows Snowflake buys small teams in this area.
- Hiring signal. The data platform careers page lists data pipelines, Dynamic Tables, metadata and data lake engineering roles. An Ashby job posting for a related role could not be read (see section 8).
- Known vendors and stack. Not found for the internal team. Customer posts name Airflow and dbt as common tools around Snowflake, which come from the TensorStax post, not from a Snowflake internal stack disclosure.
7. Engagement plan
- Product and partner route first (inference). Start with Chris Child's product team or the partner programme, with a clear fit to Openflow, Dynamic Tables or Cortex Code. Message: your product extends the roadmap rather than competing with it.
- Engineering sponsor. If there is a technical edge, such as agent verification or cross-tool orchestration, brief Raghunathan's organisation. Message: speed to market beats a build. Likely objection: Snowflake can build it, as the TensorStax deal shows.
- Internal buyer. Approach Tafvizi's team after verifying the senior directors. Message: measurable gains for the customer-zero programme and fit with Snowflake's own products. Likely objection: the team must use Snowflake first-party tools.
- IT governance. Blandina's organisation will likely review security, cost and vendor risk. Prepare security documentation and a clear ownership model before the review.
Reach paths are public only: Snowflake events such as Summit, the company blog, the partner programme, and official Snowflake contact channels.
8. Gaps and unknowns
- Internal data engineering head: not identified. Look for a VP or head of data engineering under the Chief Data & AI Officer or CIO.
- Chris Child's current role: unconfirmed after June 2025. Kleinerman's recent statements and the internal PDL names were also not verified against dated public sources.
- Procurement and legal seats: not identified. Look for a head of procurement or vendor management.
- PDL-only names: unverified, with last-update dates between February 2024 and September 2025.
- Inaccessible source: a Snowflake Ashby job posting returned an empty page and a "Job not found" error from the extraction tool.
- Leads not opened: LinkedIn posts for Child (14 January 2026) and Raghunathan (7 May 2026), appeared in search results only.
- Unreliable structure: the hierarchy in section 3 is inferred and should be checked.
Sources
- Snowflake leadership and board page (undated, retrieved 5 October 2026)
- Vivek Raghunathan author page, Snowflake blog (undated)
- Anahita Tafvizi author page, Snowflake blog (undated)
- Snowflake Acquires TensorStax to Accelerate Agentic AI for Data Engineering (4 February 2026)
- Snowflake blog: ROI of generative and agentic AI (10 March 2026)
- Technology Magazine: People Moves, Mike Blandina (2 May 2025)
- Data Engineering in the AI Era: New Snowflake Tools Built for Smart Pipelines (10 June 2026)
- What's New with Dynamic Tables: Faster and More Flexible (15 June 2026)
- Snowflake careers: Data Platform (2025 copyright)
- Snowflake Openflow press release, Nasdaq (3 June 2025)
- PDL person search results for Snowflake data engineering titles (tool output, retrieved 5 October 2026)