Lead Data Engineer

Responsibilities

• Partner with Product, Analytics, and Engineering to build scalable systems that unlock data from backend databases, event streams, and marketing platforms.
• Lead technical vision and architecture across short-term and long-term horizons.
• Create company-wide alignment through standardized metrics.
• Support financial reporting, product analytics, and operational metrics.
• Enable customer-facing dashboards, self-serve analytics, and next-best-action capabilities.
• Manage the complete data stack from ingestion through data consumption.
• Build tools that increase transparency in company-wide business outcomes.
• Work with DevOps to deploy and maintain data solutions using cloud data technologies, preferably AWS.
• Define data quality and security frameworks and promote data engineering best practices.

Requirements

Education and Experience

• Bachelor's or master's degree in Engineering, Computer Science, Mathematics, or a related field.
• 7+ years of experience in data or analytics engineering.
• Strong problem-solving and communication skills.
• Comfortable working in fast-paced, cross-functional environments.

Data Engineering and Pipelines

• Experience with enterprise architecture, enterprise data architecture, data modeling, and dimensional modeling.
• Expert knowledge of SQL and relational, dimensional, and semantic data modeling.
• Experience designing, implementing, and maintaining data warehouses, including Snowflake.
• Hands-on experience with dbt for modular, testable transformations.
• Experience with orchestration and ingestion tools such as Airflow, Prefect, Airbyte, Fivetran, and Kafka.
• Familiarity with ELT, schema-on-read, DAGs, and performance optimization.

Cloud and Infrastructure

• Experience with AWS, including S3, RDS, and Redshift.
• Familiarity with Terraform, Docker, and containerized workflows.
• Experience handling structured, semi-structured JSON, and columnar formats such as Parquet and ORC.

Analytics and Enablement

• Experience building and supporting semantic layers for self-serve analytics.
• Proficiency with BI tools such as Looker, Tableau, or Sisense.
• Experience standardizing metrics and enabling trusted, consistent access to data.

Programming and Scripting

• Proficiency in Python and Unix/Linux scripting.
• Experience working with APIs, including curl.

Nice-to-Haves

• AWS DevOps experience with Terraform, Kubernetes, and Docker.
• Project and change management experience, particularly in Agile Scrum or Kanban environments.
• Real-time ETL experience with Kafka streaming or AWS Kinesis.

Compensation and Benefits

• Private medical, dental, and vision coverage.
• Supplemental health and wellness benefits.
• Work-from-home stipend.
• Flexible Time Off, wellbeing days, Summer Fridays, company holidays, and paid holidays.
• 15-day Christmas bonus (aguinaldo).
• Monthly meal or grocery voucher via Si Vale card.
• Catered lunch.
• Relocation bonus for candidates joining from a different city.
• Annual bonus.
• Tuition reimbursement.
• Savings fund.
• Employee Resource Groups (ERGs).