Lead Architect, AI-Driven Data Pipelines

Showcify, Inc.

Bellevue (WA)

On-site

USD 250,000 - 350,000

Full time

14 days+

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Job summary

Snowflake is hiring a Principal Software Engineer to shape the agentic pipelines that power AI-enabled data engineers and scientists. You will own the pipeline layer, drive architectural direction, and deliver high-scale data processing primitives across streams, tasks, and dynamic tables.

You bring 15+ years in distributed systems, strong CS fundamentals, and hands-on expertise with C++ or Java. You will partner with product and research, lead multi-quarter bets, and mentor engineers while

Qualifications

15+ years of experience designing, building, and operating large-scale distributed data systems.
Deep expertise in at least one core area: stream processing, declarative query execution, pipeline orchestration, or data transformation at scale.
Strong computer science fundamentals — distributed systems, algorithms, fault tolerance, and consistency models.
Proficiency in C++ or Java; comfort with systems-level reasoning (latency, throughput, resource efficiency at cloud scale).
Demonstrated ability to lead cross-team technical initiatives from blank-page architecture through production at petabyte scale across thousands of concurrent workloads.
Strong written and verbal communication skills; ability to represent complex technical trade-offs clearly to engineering, product, and leadership audiences.

Responsibilities

Define and drive the technical direction for Snowflake's core data engineering and streaming transformation primitives, spanning Streams, Tasks, Dynamic Tables, and adjacent pipeline constructs.
Identify and lead multi-quarter technical investments — performance, scalability, correctness, and reliability — translating ambiguous problem spaces into concrete engineering plans with measurable outcomes.
Partner with product, research, and peer engineering teams to co-design primitives that compose cleanly across the data engineering stack.
Operate as a force multiplier: run architectural reviews, set the technical bar for design documents, and help engineers grow through high-quality feedback and sponsorship.
Work directly with customers and field teams to understand real-world usage patterns; use that signal to prioritize what matters next.
Contribute to Snowflake's technical reputation — through internal design influence, external talks, or research publications in the data engineering space.