Senior Data Engineer

Arkham Technologies Inc.; Ciudad de México; Presencial; MXN 800.000 - 1.200.000; Jornada completa

Descripción de la vacante

A data and AI platform provider in Mexico City seeks a Senior Data Engineer to lead the development of its Data Platform. The ideal candidate will possess over 5 years of experience in data engineering, with strong proficiency in Apache Spark and AWS services. Responsibilities include designing data ingestion pipelines and overseeing data lifecycle management. Join a team focused on cutting-edge data solutions that help industry leaders optimize their operations and make data-driven decisions.

Formación

• 5+ years of experience in data engineering, data architecture, or a related field.
• Strong knowledge of Apache Spark, Delta Lake, and Trino.
• Experience with AWS services like Glue, S3, and EMR.

Responsabilidades

• Lead the development of Arkham’s Data Platform.
• Design and implement pipelines for data ingestion.
• Create and monitor data extraction and transformation pipelines.
• Oversee cluster performance for optimal data pipeline execution.
• Maintain high data quality across integration and transformation.

Conocimientos

Data pipeline design

Apache Spark proficiency

Data governance practices

Python programming

Cloud services (AWS)

Descripción del empleo

About Arkham

Arkham is a Data & AI Platform—a suite of powerful tools designed to help you unify your data and use the best Machine Learning and Generative AI models to solve your most complex operational challenges.

Today, industry leaders like Circle K, Mexico Infrastructure Partners, and Televisa Editorial rely on our platform to simplify access to data and insights, automate complex processes, and optimize operations. With our platform and implementation service, our customers save time, reduce costs, and build a strong foundation for lasting Data and AI transformation.

About the Role

We are looking for a Senior Data Engineer to own our high-performance Data Platform based on the Lakehouse architecture. In this role, you will work with cutting-edge technologies such as Apache Spark, Trino, and Delta Lake, ensuring data governance and interoperability across platforms. You'll play a key role in shaping our data infrastructure, working across the entire data lifecycle—from ingestion to transformation and activation.

Key Responsibilities

• Lead the next phase of our Data Platform – Develop and enhance Arkham’s Data Platform, following Lakehouse architecture principles and ensuring data governance.
• Data Ingestion Pipelines – Design and implement pipelines to extract data from structured, semi-structured, and unstructured sources.
• Data Pipeline Orchestration – Create, monitor, and optimize multiple data extraction and transformation pipelines.
• Data Catalog Integration – Ensure interoperability between data catalogs and various query engines.
• Cluster Management & Observability – Oversee cluster performance and implement observability solutions to maintain optimal execution of data pipelines.

End-to-End Data Lifecycle Management – Maintain high data quality and usability across integration, transformation, and activation stages.

Qualifications

• Experience: 5+ years in data engineering, data architecture, or a related field.
• Technical Expertise: Proficiency in Apache Spark, Delta Lake, and Trino.
• Programming Skills: Strong experience with Python for scripting and automation.
• Cloud Knowledge: Hands-on experience with AWS services, including Glue, S3, and EMR.
• Big Data: Understanding of distributed data systems and query engines.

Problem-Solving: Excellent analytical and debugging skills.