Senior Data Analytics Engineer

9 hours, 25 minutes ago
Full-time
Senior
Data Science and Analytics
LocalStack

LocalStack

LocalStack provides a local development and testing environment that emulates over 100 AWS services, enabling developers to build and test cloud applications offline with high fidelity and faster feedback loops, ultimately streamlining the development ...

Internet Software & Services
11-50
Founded 2021

Description

  • Build a reusable, well-documented semantic layer with core data models, including dimensions, facts, and metrics, for priority business domains.
  • Drive adoption of canonical models so downstream dashboards and analyses rely on a single source of truth.
  • Translate ambiguous and evolving business logic into clear data specifications and modeling documentation.
  • Implement testing, lineage, and auditability to improve data reliability and model quality.
  • Refactor legacy models to remove duplication, ambiguity, and performance bottlenecks.
  • Design intuitive data models and documentation that enable self-serve analysis for product and GTM teams.
  • Establish and standardize modeling conventions, naming standards, and metric definitions across the organization.
  • Align cross-functional stakeholders on KPIs and business logic to prevent metric drift and resolve ambiguity.

Requirements

  • 5+ years of experience in a Data Analytics role.
  • Deep experience with data modeling, including dimensional, semantic, entity-relationship, and metric-layer design.
  • Strong ability to transform business domain knowledge into structured schemas.
  • Mastery of SQL and transformation frameworks.
  • Experience with data warehouse performance optimization, including materialization strategies and cost-aware choices.
  • Strong awareness of data quality, testing, and lineage practices.
  • Experience working directly with business partners in Product, GTM, and Finance to define and codify KPIs.
  • Experience with Tinybird, ClickHouse, or real-time warehouses is preferred.
  • Experience implementing metric layers or headless BI is preferred.
  • Prior experience in a fast-paced Series A or early-stage startup is preferred.
  • Familiarity with schema registries, governance frameworks, and semantic modeling tools is preferred.

Benefits

  • Fully remote work.
  • Competitive salary.
  • Opportunities for professional development and training.
  • Dynamic and collaborative work environment.
  • Flexible work arrangements.

Interested in this position?

Apply directly on the company website

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