Data Architect, BI Analytics Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish the architecture, standards, patterns, naming conventions, and modeling practices for the BI analytics platform.

• Create comprehensive end-to-end, column-level lineage from source systems to dashboards.

• Manage a data catalog and business glossary.

• Identify sensitive data and implement tagging, masking, row access policies, least-privilege RBAC, retention, and deletion controls.

• Define service level agreements (SLAs), service level objectives (SLOs), and freshness targets for data products.

• Design monitoring and alerting systems for data reliability breaches.

• Architect ingestion, transformation, and orchestration patterns, including backfills, late-arriving data, and failure management.

• Oversee schema design reviews, versioning, and change management.

• Approve architectural modifications through design reviews and ensure platform consistency.

• Convert reporting requirements into sustainable data models.

• Collaborate with Security, Legal, Compliance, analysts, BI developers, business leaders, and engineers.

• Implement version control, code reviews, CI/CD, automated testing, infrastructure as code, and data quality contracts.

• Draft architecture decision records and design documentation.

• Provide mentorship to data engineers and analytics engineers.

⛳️ Requirements

• 8+ years of experience in data engineering, architecture, or warehousing.

• 3+ years serving as the accountable architect.

• Proficient in SQL.

• Working knowledge of Python.

• Experience with production-scale Snowflake or a similar platform.

• Knowledge of RBAC, masking and row access policies, object tagging, resource monitoring, and cost management.

• Expertise in dimensional (Kimball) and normalized data modeling.

• Familiarity with PII and regulated data, including classification, minimization, masking or tokenization, retention, and deletion.

• Proven experience in defining and meeting data SLAs, along with monitoring, alerting, and incident response capabilities.

• Proficient in Git workflows, code reviews, CI/CD practices, automated testing, and environment promotion.

• Experience with dbt, Terraform, Airflow or Dagster, and catalog tools such as Atlan, Alation, Collibra, or DataHub is a plus.

• Familiarity with Data Vault is preferred.

• Ability to lead through influence and articulate technical trade-offs.

• Capability to quickly adapt to new tools and technologies.

• Must be a resident of the US, as the application inquires about current US residency and employment sponsorship for the location of the job.

🏝️ Benefits

• Competitive salary and equity packages for all team members.

• Comprehensive medical, dental, and vision coverage.

• Complimentary life insurance, including long-term and short-term disability options.

• Unlimited paid time off (PTO) and designated holidays.

• Maternity and paternity leave policies.

• Assured contributions of 3% of your salary to a 401(k), regardless of your personal contributions.

• Lunch provided twice a week.

• Monthly phone stipend and additional home office benefits.

• Health Flexible Spending Accounts (FSAs) and Health Savings Accounts (HSAs).

• Opportunities for team events and offsite gatherings.