7 часов назад
Data Engineering Manager (Databricks)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Manager (Databricks) (AI and semantic modeling): Designing and maintaining semantic layers, KPI models, and data pipelines for governed scorecards and AI-powered analytical solutions with an accent on Databricks Metric Views, data quality, and multi-source integration. Focus on translating business requirements into reusable models, preparing data for narrative generation and conversational analytics, and enforcing governance across production data assets.
Location: Bogotá, Colombia
Company
Blend is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver data-driven solutions for clients.
What you will do
- Design, build, and maintain semantic layers and KPI models using Databricks Metric Views.
- Translate business-owner requirements into reusable data models, KPI definitions, and business logic.
- Profile source data quality, ownership, lineage, data grain, and reconciliation requirements across enterprise systems.
- Develop data integration and transformation pipelines for AI-generated narratives and conversational analytics.
- Define conformed dimensions and market-specific data variations for multi-market reporting.
- Establish data quality, monitoring, security, governance, documentation, and production-readiness practices.
Requirements
- 7+ years of experience in data engineering, data architecture, or analytics engineering.
- Hands-on experience with Databricks Metric Views or equivalent semantic and metric-layer tooling.
- Advanced SQL and Python skills for data processing, transformation, and pipeline development.
- Experience with Azure Databricks, cloud data platforms, ELT/ETL tooling, data modeling, conformed dimensions, and Medallion architectures.
- Experience with data quality, lineage, reconciliation, Git, collaborative development, and stakeholder-facing KPI definition.
- Advanced English is required for communication with global teams.
Nice to have
- Experience with FMCG/CPG or retail data ecosystems, including POS, SKU, category, and market-performance datasets.
- Knowledge of business ontology, semantic modeling, and AI/LLM-based analytics.
Culture & Benefits
- At-home medical assistance through Asobursatil or a similar provider.
- Private healthcare plans for Lead-level roles and above.
- Christmas kit and paid time off for academic graduation.
- Family Day: one day off each semester.
- Savings incentive program with increasing employer contributions over time.
- Forgivable education loans subject to eligibility, committee approval, and budget availability.
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