Senior Data Engineer

Arkham Technologies; Ciudad de México; Presencial; USD 60,000 - 90,000; Jornada completa

Descripción de la vacante

Arkham Technologies is seeking a Senior Data Engineer to enhance its high-performance Data Platform based on Lakehouse architecture. This pivotal role involves managing the entire data lifecycle with cutting-edge technologies like Apache Spark and Trino. The ideal candidate will have significant experience in data engineering and proficiency with AWS services to ensure robust data governance and interoperability across systems.

Formación

• 5+ years in data engineering, data architecture, or related field.
• Proficiency in Apache Spark, Delta Lake, and Trino.
• Hands-on experience with AWS services, including Glue, S3, and EMR.

Responsabilidades

• Develop and enhance Arkham’s Data Platform adhering to Lakehouse principles.
• Design and implement data ingestion pipelines from various sources.
• Oversee cluster performance and implement observability for data pipelines.

Conocimientos

Apache Spark

Python

Data Governance

Big Data

Data Pipeline Orchestration

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.