Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 9h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 297d ago
The date the source published, not the day we noticed it (2025-12-18). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Mexico
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $5,250–7,250/mo
Middle 50% of 11 listings that do state pay — Engineering · Senior · Mexico · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 10h ago · last seen 1h ago
The listing
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.
Requirements
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.