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Architecture Full-time · Remote / Hybrid

Data Architect

Design scalable, secure, and business-aligned data ecosystems. Translate business needs into architecture decisions across platform, integration, governance, and data product enablement.

Role Summary

We are looking for a Data Architect to design scalable, secure, and business-aligned data ecosystems that help organizations turn data into measurable outcomes. This role sits at the intersection of strategy and execution: translating business needs into architecture decisions, defining modern data patterns, and guiding teams toward practical, fit-for-purpose solutions. The ideal candidate can move fluidly from executive conversations about roadmap and governance to detailed architecture decisions around platforms, ingestion, modeling, interoperability, security, and operational readiness.

What You'll Do

Core Responsibilities

  • Design modern data architectures across cloud, lakehouse, warehouse, streaming, and hybrid environments.
  • Define target-state and transition-state architectures that balance near-term delivery with long-term scale.
  • Create architecture blueprints for data platform, master data, semantic layers, governance, observability, and data product enablement.
  • Establish standards for data modeling, integration, metadata, lineage, access patterns, and lifecycle management.
  • Partner with engineering teams to ensure architecture decisions translate cleanly into implementation.

Strategic & Cross-Functional Responsibilities

  • Lead architecture workshops with business, product, and technical stakeholders.
  • Evaluate technology options and recommend platforms based on business fit, cost, risk, and operating model.
  • Support account strategy, solution shaping, and roadmap development for enterprise data modernization.
  • Advise leaders on sequencing: what to build now, what to standardize later, and how to avoid overengineering.
  • Contribute to reusable reference architectures, patterns, and accelerators across the practice.

What You Bring

Required Qualifications

  • 8+ years of experience in data architecture, data engineering, analytics architecture, or related roles.
  • Experience designing enterprise data platforms in at least one major cloud environment.
  • Strong understanding of data warehousing, lakehouse patterns, dimensional modeling, and domain-oriented architecture.
  • Experience with data governance, security, metadata, and integration patterns.
  • Strong communication skills with the ability to explain architecture tradeoffs to both technical and non-technical audiences.

Preferred Qualifications

  • Experience in consulting or client-facing architecture roles.
  • Familiarity with data product thinking, domain-driven design, or data mesh concepts.
  • Experience with regulated data environments and policy-driven controls.
  • Exposure to AI/ML architecture, feature pipelines, or knowledge/retrieval architectures.
  • Experience contributing to presales, solutioning, or architecture review boards.

Skills and Capabilities

Technical Skills

Data modeling (conceptual, logical, dimensional)Warehouse/lakehouse/medallion patternsCDC and event-driven integrationSecurity, governance, and RBACObservability and SLO designAPI and batch integration design

Domain & Business Skills

Translating business capabilities into architectureBalancing speed, scale, and governanceDecision-ready roadmaps and transition statesAligning architecture to product and AI use casesHelping organizations standardize without rigidity

Tools, Platforms, and Languages

Azure, AWS, Google CloudSnowflake, Databricks, BigQuery, Fabric, Redshiftdbt, Airflow, Dagster, ADFMetadata and catalog toolingSQL, Python, YAML

What Success Looks Like

  • Architecture decisions accelerate delivery rather than delay it.
  • Platforms and patterns are adopted by engineering teams.
  • Core data domains become more reliable, reusable, and trustworthy.
  • Stakeholders gain clearer visibility into roadmap, dependencies, and tradeoffs.
  • Solutions scale without unnecessary complexity or cost.

How You'll Collaborate

Internal Partners

Data Engineers, AI Engineers, Product Managers, Strategists, Delivery Leads

Client Partners

CIOs, CTOs, CDOs, enterprise architects, engineering leaders, analytics leaders

We are committed to creating an inclusive workplace and providing equal opportunity to all applicants and employees. We welcome candidates from all backgrounds and provide reasonable accommodations throughout the hiring process.