2 months ago
Remote, United States or Remote, CanadaStaff+
Base Salary
$160k - $190k/yr
Responsibilities
- Design and own the governed semantic and metrics layer as a single source of truth for company metrics.
- Build curated, tested, documented data models on Amazon Redshift with attention to performance and cost.
- Develop embedded, self-service, multi-tenant analytics experiences in Omni for customer-facing product modules.
- Create documentation, lineage, evaluation, and quality checks that make analytics reliable for AI agents and natural-language queries.
- Lead the hands-on migration from Oracle BI and legacy reports to governed Omni models and metrics.
- Establish reusable engineering patterns, libraries, review practices, and standards while mentoring engineers and contractors.
- Partner with data platform, product, ML, and agent teams to sequence and deliver cross-functional analytics initiatives.
Requirements
- At least 8 years of experience in analytics engineering, data engineering, or business intelligence.
- Expert SQL skills and strong dimensional and semantic data modeling experience.
- Deep experience with a transformation framework such as dbt and a governed metrics or semantic layer such as dbt Semantic Layer, MetricFlow, Cube, LookML, or Omni’s modeling layer.
- Strong experience with a cloud data warehouse, ideally Amazon Redshift or Snowflake, including performance and cost optimization at scale.
- Experience with version control, testing, CI/CD, documentation, and data lineage in analytics engineering.
- Hands-on experience building embedded, multi-tenant, customer-facing analytics and self-service dashboards in a SaaS product.
- Understanding of governed analytics, documentation, lineage, and evaluation for reliable natural-language-to-SQL and agent systems.
- Experience using AI tooling to accelerate modeling, documentation, and development.
- Track record of setting technical direction, establishing standards, mentoring engineers, and driving impact without formal management responsibility.
- Bachelor’s or master’s degree in Computer Science, Data, Statistics, Engineering, or a related field, or equivalent practical experience.
- Preferred experience includes real estate technology, facilities management, workplace technology, IWMS, vertical SaaS, Omni, Amazon Redshift, dbt, and legacy BI migrations.
- Familiarity with compliance-bound environments such as FedRAMP and SOC 2 is preferred.
Benefits
- Health, dental, and vision insurance.
- 401(k) plan with company match.
- Generous paid time off.
- Flexible remote, hybrid, or in-office work arrangements.
- Inclusive and collaborative workplace culture.
Tech Stack
Categories
Data Engineering
About Tango
Tango builds a social live‑streaming mobile app where creators broadcast, chat with audiences, and earn through virtual gifts and in‑app purchases. The platform serves content creators and viewers seeking real‑time entertainment and community. Privately held and headquartered in Mountain View, California, Tango reports over 400 million downloads and maintains global offices in Kyiv, Limassol, Warsaw, Dubai, and Tel Aviv.