Senior Data Solution Architect

We are seeking a hands-on Senior Data Solution Architect to design and validate a production-grade data foundation that supports analytics and AI-agent consumption. You will shape data models, integration patterns, and BigQuery standards while partnering with engineering to deliver governed, reliable datasets.

Responsibilities

• Define target data architecture for cost, usage, resource, contract, finance, metadata, and operational datasets
• Design conceptual, logical, and physical data models for BigQuery analytical workloads
• Create source-to-target mappings, transformation rules, data contracts, lineage documentation, and business definitions
• Establish canonical entities, domain models, semantic datasets, and reusable dimensions for analytics and agent use cases
• Define data layer standards across raw, standardized, curated, and analytics-ready zones with clear ownership boundaries
• Design integration patterns for APIs, files, databases, event streams, and semi-structured sources
• Set BigQuery standards for partitioning, clustering, materialized views, schema conventions, and query optimization
• Review SQL, schemas, and pipeline designs to improve scalability, maintainability, performance, and cost efficiency
• Partner with engineering to define ingestion, transformation, enrichment, reconciliation, and data-quality patterns
• Establish governance standards for lineage, ownership, access control, retention, classification, freshness, and quality
• Coordinate architecture and code reviews and provide technical direction across the data domain

Requirements

• Data architecture experience (3+ years) designing analytical platforms and multi-source integrations on Google Cloud Platform
• Technical leadership experience guiding senior engineers and aligning stakeholders on data architecture decisions
• Project delivery experience producing architecture artifacts, source-to-target mappings, and proof-of-concept validations
• Advanced SQL skills with hands-on BigQuery experience for modeling, optimization, and cost-efficient query design
• Strong data modeling skills across conceptual, logical, physical, dimensional, and canonical/domain models
• Hands-on Python skills for data services, transformations, proofs of concept, or API integrations
• Strong communication skills to translate requirements into clear, actionable specifications
• Upper-Intermediate English proficiency (B2) for daily collaboration and documentation

Nice to have

• Google Cloud BigQuery expertise with enterprise-scale optimization and administration
• Python proficiency for building data tooling or integration services
• Data Governance experience with catalogs, lineage, and access control standards
• Data Model expertise for semantic layers and domain-oriented datasets
• Stakeholder Management experience in cross-functional, architecture-driven programs