Data Engineering Manager (Databricks)

Location: Santiago, Santiago Metropolitan Region, Chile

Company

hirify.global 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 KPI requirements into reusable data models and business logic with business owners.
• Build 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, validation, monitoring, security, access control, and governance frameworks.
• Lead technical documentation, knowledge transfer, production readiness assessments, and deployments.

Requirements

• 7+ years of experience in data engineering, data architecture, or analytics engineering.
• Hands-on expertise 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, and collaborative development practices.
• Advanced English 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.

Culture & Benefits

• Flexible working options.
• Access to certifications in AWS, Databricks, and Snowflake.
• AI learning paths, study plans, courses, Udemy Business, and role-specific certifications.
• English lessons, mentoring, and career development plans.
• Company-provided equipment and opportunities to attend industry conferences and meet clients.
• Additional benefits may vary by location in LATAM.

Hiring process

• Submit a resume or LinkedIn profile for review.