We are looking for a Senior Data Engineer to support the buildout of a centralized data platform in Snowflake. This role will focus on designing and implementing scalable data pipelines to consolidate large volumes of data from diverse sources into a unified platform. The emphasis is on high-throughput data engineering delivery, with a strong focus on scalability, reliability, and rapid execution.

Requirements:

• Structured and semi-structured data
• Large datasets (high-volume ingestion and processing)
• Understanding of Medallion architecture and modern data platform design
• Experience with orchestration tools (e.g., Airflow or similar)

Advanced (Nice to Have)

Experience with:

• DataOps / observability frameworks
• Metadata management / data catalogs
• Multi-source data integration

Familiarity with:

• Cloud environments (Azure preferred)
• Distributed query engines (e.g., Trino)

Soft Skills / Mindset

• Ability to work in a high-speed delivery environment with many parallel pipelines
• Comfortable operating in evolving, ambiguous requirements
• Strong ownership mindset focused on outcomes, not just tasks
• Effective communication with technical and business stakeholders

Engagement Model Context

• Work as part of a scalable, flexible team, supporting ramp-up/down needs
• Contribute to rapid delivery of multiple pipelines in a compressed timeline
• Collaborate with a distributed team across regions

Responsibilities:

• Design and build end-to-end data pipelines to ingest and process data from:
• Internal operational and financial systems
• Multiple commercial real estate data sources
• Third-party market and macro datasets
• Develop transformations using DBT to create clean, reliable, and business-ready datasets (Gold layer)
• Implement and optimize Snowflake-based data models aligned with Medallion architecture (Bronze / Silver / Gold)
• Deliver pipelines at scale with a focus on:
• High performance
• Cost efficiency
• Maintainability
• Collaborate with stakeholders to continuously adapt to evolving requirements in an agile environment
• Ensure data quality, observability, and reliability, including:
• Data freshness monitoring
• Pipeline reliability
• Data validation and QA
• Contribute to building a modular, loosely coupled data platform architecture to avoid vendor lock-in
• Strong experience with Snowflake (data modeling, performance tuning, cost optimization)
• Hands-on experience with DBT for transformation and data modeling
• Proven track record building large-scale data pipelines
• Solid SQL expertise and experience with distributed data systems
• Data Engineering

What we offer:

• Annual paid vacation of 18 working days.
• Extra vacation days for long-lasting cooperation.
• Annual paid sick leave of 10 days.
• Maternity/Paternity leave.
• The opportunity for sabbatical leave.
• Marriage and Parenthood Package.
• Compensation for sports activities or health insurance covering (up to 250$ per year) — after the trial period.
• Career development plan.
• English and Spanish classes.
• Paying taxes and managing PE (Private Entrepreneur).
• Technical equipment.
• Internal Referral program.
• Opportunity to take part in company volunteering activities.
• Sombra is a “Friendly to Veterans” award-holder.