Senior Data Engineer

Reposted 19 Days Ago
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Hiring Remotely in Mexico City, Ciudad De México
Remote
Senior level
Artificial Intelligence • Information Technology • Software • Database
The Role
The Senior Data Engineer will enhance Arkham's Data Platform with a focus on Lakehouse architecture, manage data pipelines, and ensure data quality across the lifecycle.
Summary Generated by Built In
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.

Top Skills

Spark
AWS
Delta Lake
Emr
Glue
Python
S3
Trino
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The Company
HQ: Miami, Florida
35 Employees
Year Founded: 2023

What We Do

Arkham is a Data & AI Platform that helps mid-market and large enterprises:

-Unify fragmented systems and data
-Build a single source of trusted operational metrics
-Solve complex challenges with AI models tailored to their operations

Business and technology teams at companies like Circle K and Kimberly-Clark partner with us to solve problems in areas such as supply chain and commercial operations. From automating order assignment to simplifying sell-in and sell-out forecasting, our customers achieve high-impact results fast and at a fraction of the cost of internal development.

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