Senior Data Architect – Hands on

Stratus

Senior Data Architect at Stratus, managing canonical data architecture and supporting AI/ML workloads. Driving modernization and technical leadership in data engineering.

Posted 6/18/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformMongoDB

About the role

Key responsibilities & impact

Own our canonical data architecture — the schema, contracts, tenancy, and governance.
Make production data AI-ready: well-modeled, contract-enforced, lineage-tracked, and drift-detectable.
Own the canonical data model — the normalized definition of the core business objects shared across our products.
Define the multi-tenant data architecture: tenancy isolation, data residency posture, and per-tenant cost attribution.
Lead staged modernization toward the right mix of stores and patterns.
Own the architectural direction of the data pipeline and lake / lakehouse layer.
Drive hands-on prototypes, reference implementations, and in-repo guardrails.
Partner with database engineering on production data health while owning long-term architectural direction.

Requirements

What you’ll need

8+ years in data architecture, data engineering, database administration, or analytics engineering, with 3+ years in senior / lead roles.
Demonstrated ownership of a canonical or enterprise data model / cross-product schema.
Hands-on MongoDB at production scale (Atlas M40+ ideal): document modeling, aggregation framework, indexing, change streams, sharding, replica sets.
Strong polyglot-persistence judgment.
Hands-on relational depth: schema design, indexing strategy, and query tuning.
Production experience making data AI/ML-ready: data architecture supporting RAG, semantic search, embeddings / vector pipelines, or agentic workloads.
Multi-tenant architecture experience: data residency and per-tenant cost attribution.
Pipeline / ELT / lake / lakehouse design at scale, with incremental migration strategies that minimize disruption.
Cloud-native data services (Azure, AWS, or GCP).
Strong grasp of data quality, testing, lineage, and monitoring.

Benefits

Comp & perks

Comprehensive and competitive health benefits plan
Matching 401k contributions
20 days annual PTO
Primarily remote work with occasional annual team onsites

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata engineeringdatabase administrationanalytics engineeringMongoDBschema designindexing strategyquery tuningdata qualitypipeline design

Soft Skills

leadershipownershipcollaborationproblem-solvingcommunication