Solutions Architect

Location:

Seattle Washington - Work Remote

Built for engineers who love solving hard problems.

At Granule Labs, we specialize in Click House and the engineering challenges that come with building high-performance, scalable data platforms.

As an early pure-play Click House partner, we’re helping organizations tackle complex challenges across real-time analytics, observability, performance optimization, and data architecture.

We’re looking for talented engineers and architects who want to go deep technically, work alongside other experts, and help build a company in one of the most exciting areas of data infrastructure.

As a Solutions Architect, you own the shape of an engagement end to end. You profile the workload, design the target architecture, work out how it integrates with what the client already runs, and defend the decisions with their technical leadership.

You work deeply with a small number of clients at a time — not a portfolio of accounts you check in on.
Depth is what we offer.

This is a player-coach role. You are hands-on first — working in the schema, designing integrations, and building prototypes yourself. You also lead a delivery team of two to four engineers and are accountable for what they ship.

The patterns you set will become part of how Granule works.

You are an architect who still wants to build, and you are as comfortable with clients as you are with the systems behind them.

• You are hands-on. You want to profile the workload, test the design, and build alongside the team rather than review from a distance.
• You exercise commercial judgment. You can separate what a client needs from what they are willing to buy — and tell them when the smaller engagement is the right one.
• You can disagree without theater. You are comfortable giving technical leadership an answer they may not want to hear, and changing your own view when the evidence says you should.
• You own the outcome. If a design you approved does not hold up, you want to understand why and fix it.

Architecture and workload profiling

• Establish what is actually happening: the current architecture, query shapes, cardinality, concurrency, ingest rate, retention, cost, and what the system has to read to answer a question.

The target system

• Design the engine, topology, ingestion path, semantic layer, governance model, and how it integrates with the client's existing data, BI, orchestration, identity, applications, and agents.

Delivery leadership

• Lead two to four engineers, turn the architecture into sequenced work, review the decisions that matter, unblock the team, and stay accountable for quality and delivery.

Commercial and pre-sales judgment

• Help scope discovery, proposals, SOWs, estimates, and the cost model behind them — including what we are willing to fixed-price and what we are not.

The practice itself

• Turn what works into reference architectures, integration patterns, estimation standards, accelerators, and delivery playbooks that the rest of the firm can reuse.

Skills and experience get you in the room. What you do with them is what gets you the job.

• Senior data architecture experience. 8+ years in data, analytics engineering, or architecture, including meaningful client-facing work and responsibility for other people's output.
• Deep analytical database experience. Real production depth in at least one columnar or MPP system such as Click House, Druid, Pinot, Star Rocks, Snowflake, Big Query, Redshift, or Vertica. Click House experience is preferred; the ability to get deep on an unfamiliar engine quickly also counts.
• Enterprise and real-time architecture. You have designed systems spanning source platforms, warehouses, BI, orchestration, identity, and applications, with…