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Senior Data & Analytics Engineer, Domain Enablement (R5536)

3 weeks, 3 days ago
Anywhere
Full-time
Senior
Analytics Engineer
Data Science and Analytics
Apache Spark Databricks Python SQL
Apply Now
Bitly

Bitly

Bitly is a link management platform offering URL shortening, QR codes, and a Link in Bio solution for brands to optimize customer experience.

Internet Software & Services
51-250
Founded 2008
$92M raised
View All Jobs 15

Description

  • Build and maintain Silver and Gold data models, domain marts, curated datasets, and semantic assets for priority domains on Databricks.
  • Partner with business stakeholders to translate domain requirements and KPI definitions into governed, testable transformation logic.
  • Apply and improve enterprise modeling standards, naming conventions, semantic definitions, and promotion rules.
  • Create reusable domain patterns and analytical building blocks to support self-service analytics across teams.
  • Design semantic views and curated layers for consumption in BI tools, Databricks SQL, and AI/BI experiences.
  • Work across overlapping business domains to align metrics and concepts across G&A, GTM, workforce, and product-adjacent areas.
  • Ensure data sensitivity, classification, and approved-use rules are reflected in modeling and semantic exposure.
  • Review partner-delivered and domain-contributed data models for production readiness and alignment with enterprise definitions.
  • Provide documentation, examples, and technical guidance to help domain teams become more self-service over time.

Requirements

  • 5+ years of experience in analytics engineering, BI engineering, data engineering, or a hybrid modeling/transformation role.
  • Strong dimensional modeling and semantic design skills, including facts, dimensions, grain, and conformed dimensions.
  • Strong SQL skills and comfort with modern cloud data platforms such as Databricks.
  • Ability to translate ambiguous business requirements into precise, auditable, reusable data models.
  • Data engineering fluency across Silver-to-Gold transformations, testing, performance tuning, and production deployment.
  • Ability to understand the business meaning and usage constraints of modeled data.
  • Strong communication skills and experience working directly with business stakeholders.
  • Experience in finance, program finance, RevOps, marketing analytics, HR analytics, product analytics, or another cross-functional business domain (preferred).
  • Experience building modular, tested transformation pipelines on Databricks using SQL/pyspark, Delta Live Tables, or equivalent (preferred).
  • Experience with semantic layer tooling, governed metrics, or AI/BI consumption layers (preferred).
  • Experience in regulated or security-sensitive industries (preferred).
  • Interest in expanding from G&A/GTM domains into Product or Engineering over time (preferred).

Benefits

  • Pay within range plus bonus, benefits, and equity for full-time regular employees.
  • Temporary employees receive pay plus a temporary benefits package after 60 days of employment.
  • Salary is influenced by experience, certifications, and work location.
  • Offers are contingent on a cleared background check and possible reference check.
  • Equal opportunity workplace with affirmative action employment policies.

Interested in this position?

Apply directly on the company website

Apply Now

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