Lead Data Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Develop infrastructure that supports product intelligence, financial reporting, and self-service analytics.

• Collaborate with Product, Analytics, and Engineering teams to create scalable systems utilizing backend databases, event streams, and marketing platforms.

• Provide leadership in technical vision and architecture for both short-term and long-term objectives.

• Foster company-wide alignment through the establishment of standardized metrics.

• Assist in financial reporting, product analytics, and operational metrics.

• Facilitate customer-facing dashboards, self-service analytics, and next best actions within the product.

• Oversee the entire data stack from data ingestion to consumption.

• Develop tools that enhance transparency regarding company-wide business outcomes.

• Collaborate with DevOps to implement and sustain data solutions using cloud data technologies, particularly AWS.

• Establish data quality and security frameworks while advocating for best practices in data engineering.

• Work alongside Data Analytics, ML, Product, and Engineering teams to construct scalable and reliable systems.

⛳️ Requirements

• BS/MS in Engineering, Computer Science, Mathematics, or a related field.

• Over 7 years of experience in Data or Analytics Engineering.

• Excellent problem-solving and communication abilities; adept in fast-paced, cross-functional settings.

• Knowledge of enterprise architecture and enterprise data architecture, including data modeling and enterprise dimensional modeling.

• Proficiency in SQL and data modeling techniques (relational, dimensional, semantic).

• Demonstrated experience in data warehouse design, implementation, and maintenance (Snowflake).

• Practical experience with DBT for modular and testable transformations.

• Familiarity with orchestration and ingestion tools such as Airflow, Prefect, Airbyte, Fivetran, and Kafka.

• Understanding of ELT, schema-on-read, DAGs, and performance optimization.

• Experience working with AWS services (S3, RDS, Redshift, etc.).

• Knowledge of Terraform, Docker, and containerized workflows (considered a bonus).

• Proficient in handling structured and semi-structured data formats (e.g., JSON) as well as columnar formats (e.g., Parquet, ORC).

• Experience in building and supporting semantic layers for self-service analytics.

• Skilled with BI tools such as Looker, Tableau, or Sisense.

• Capable of standardizing metrics and enabling reliable and consistent access to data.

• Proficient in Python and Unix/Linux scripting.

• Comfortable working with APIs (e.g., utilizing curl).

• AWS DevOps experience with Terraform, Kubernetes, and Docker (bonus).

• Strong project and change management skills, particularly within Agile (SCRUM, Kanban) environments focusing on iterative deliveries (bonus).

• Experience in real-time ETL processes involving Kafka streaming and AWS Kinesis (bonus).

🏝️ Benefits

• Comprehensive Medical, Dental & Vision Coverage.

• Additional health and wellness benefits through Modern Health and Vivawell.

• Work From Home stipend.

• Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), along with Paid Holidays.

• Christmas Bonus (15-day aguinaldo).

• Monthly meal/grocery vouchers via Si Vale card.

• Catered Lunch provided.

• Relocation bonus for candidates moving from another city.

• Annual Bonus opportunities.

• Tuition Reimbursement available.

• Savings Funds offered.

• Access to Employee Resource Groups (ERGs).