Data Architect, AI

Job not on LinkedIn

🕒 September 8

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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VALCE Talent Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🤝 B2B

🎯 Recruiter

💼 Consulting

B2B • Recruitment • Consulting

VALCE Talent Solutions is a company specializing in nearshoring, IT talent acquisition, and consultancy aimed at helping businesses expand globally, particularly in Mexico, LATAM, and the United States. They offer customized solutions that include talent recruitment, workforce management, and the integration of technology and artificial intelligence to enhance business processes. With a strong focus on strategic consulting, VALCE aims to connect technology, talent, and tangible results, boasting a robust network of IT professionals and a proven track record of successful placements and project scaling.

📋 Description

• Design end-to-end data architectures on the Databricks Lakehouse Platform • Build reliable, production-ready Bronze, Silver, and Gold data pipelines • Troubleshoot and tune large-scale Apache Spark jobs • Design governance models for data and AI assets • Implement role-based, row-level, and column-level access controls and data lineage • Work with AWS, Azure, or GCP cloud infrastructure • Optimize Databricks clusters, DBU usage, performance, and cloud costs • Potentially build, deploy, and monitor GenAI applications and machine learning models • Automate Databricks workflows and support streaming data ingestion and downstream BI integration

🎯 Requirements

• Expertise in designing end-to-end data architectures using Bronze, Silver, and Gold layers • Deep understanding of distributed computing and Databricks/Spark internals • Ability to troubleshoot and tune large-scale Spark jobs using caching, partitioning, and broadcast joins • Understanding of Delta Lake ACID transactions, schema enforcement, time travel, and Z-ordering • Ability to design unified governance models for data and AI assets, including RBAC, row-level security, column-level security, and data lineage • Strong grasp of AWS, Azure, or GCP native cloud ecosystems, including VNet setups and IAM roles • Advanced SQL skills • Fluency in Python or Scala • Ability to monitor DBUs, right-size serverless and multi-node clusters, and optimize cloud costs • Advanced English • Databricks certifications, GenAI/MLflow, CI/CD and DevOps, streaming data, and BI experience are nice to have, not required