Data Platform & Engineering Leadership

Where architecture meets scale.

Senior engineering advisory for companies building serious data infrastructure — from platform strategy to AI readiness to the org design that sustains it.

Start a conversation ↗ See what we do
What we do
Data Platform Architecture
Lakehouses, streaming pipelines, Iceberg and Flink at scale. Architecture that handles hundreds of millions of events daily without the chaos.
AI/ML Readiness
GenAI platform strategy, NL-to-SQL, self-serve analytics. Getting your data stack ready for the models before your competitors do.
Org Scaling & Team Design
Building engineering orgs from 10 to 100+. Team topology, velocity systems, and the cultural infrastructure that makes growth stick.
FinOps & Platform Economics
Cloud spend governance, build vs. buy decisions, and architecture as a financial forcing function. Targeting measurable cost reduction at scale.
About
25+
Years in engineering leadership
500M+
Events/day pipelines designed
100+
Engineers led across orgs
$10M+
Cloud cost savings delivered
Founder

Sryam is led by a senior engineering executive with hands-on experience building data platforms at two of the world's largest media and commerce companies. As VP of Engineering for Data Platform at Warner Bros. Discovery and Senior Director of Engineering at Walmart Global Tech, the work wasn't theoretical — it was building Flink and Iceberg-based architectures, shipping a GenAI NL-to-SQL platform, and scaling engineering orgs from the ground up.

The advisory practice brings that operating experience directly to clients — not frameworks borrowed from a whitepaper, but judgment built from shipping real systems at real scale.

Prior employers & domains: Warner Bros. Discovery Walmart Global Tech Vendavo Yahoo Oracle
How we work
Embedded advisory,
not slide decks.
01
Diagnostic

Short, focused discovery — architecture review, org assessment, or platform audit. We find the real constraint, not the symptom.

02
Strategy & Roadmap

A grounded plan with tradeoffs made explicit. Build vs. buy, architecture bets, team structure — with the rationale for each decision.

03
Execution support

Embedded advisory during implementation — technical design reviews, hiring calibration, stakeholder alignment. We stay in the work.

Engagements are project-based or retainer. Typically 4–16 weeks.

Ready to talk?

Whether you're scaling a platform, planning an AI strategy, or building out a team — let's spend 30 minutes on it.

Book a conversation ↗
rtata@sryam.com