Data Engineer Lead

Job not on LinkedIn

🔥 14 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

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

• Lead the design, development, and evolution of enterprise-grade data platforms and pipelines supporting credit risk products, decisioning capabilities, and analytics solutions • Architect and implement scalable ETL/ELT frameworks using Databricks, Spark, Delta Lake, and cloud-native technologies • Establish data quality, lineage, governance, observability, and monitoring capabilities • Migrate and modernize legacy data assets into cloud-based architectures and Data Lakehouse platforms • Partner with Risk, Product, Architecture, and Engineering teams to translate business requirements into scalable technical solutions • Define and promote engineering standards, coding practices, testing frameworks, data quality frameworks, deployment automation, and operational excellence • Lead technical design reviews and influence architectural direction for data-intensive applications and services • Optimize large-scale data processing workloads for performance, reliability, scalability, and cost efficiency • Enable AI and advanced analytics initiatives through high-quality, reusable, governed data products • Mentor and coach engineers and foster ownership, continuous learning, accountability, and engineering excellence • Shape strategic roadmap planning, technology evaluation, and delivery priorities across the ECR portfolio • Support regulatory, compliance, security, and audit requirements through engineering controls and documentation • Own complex cross-service problems and facilitate cross-functional collaboration • Conduct technical interviews and assess engineering talent

🎯 Requirements

• Strong expertise in designing and implementing large-scale data engineering solutions and distributed data processing systems • Advanced proficiency with Databricks, Apache Spark, Delta Lake, SQL, Hadoop, and Python • Experience building and operating cloud-based data platforms on Azure, AWS, or GCP • Expertise developing enterprise-grade ETL/ELT pipelines, streaming architectures, and data integration frameworks • Strong understanding of data modeling techniques for analytical and operational workloads • Experience implementing data quality frameworks, lineage, metadata management, and governance practices • Experience with Parquet, Avro, and ORC data formats • Working knowledge of CI/CD pipelines, infrastructure-as-code, automated testing, and DevOps practices • Experience with workflow orchestration tools such as Airflow • Strong understanding of security, privacy, and compliance requirements for sensitive financial and customer data • Proven ability to lead technical initiatives across multiple teams and influence engineering direction without direct authority • Excellent communication skills across technical and business functions • Demonstrated leadership in aligning engineering teams around shared goals and driving delivery through ambiguity • Ability to influence senior technical and business stakeholders and make thoughtful trade-off decisions • Knowledge of Java-based application development is a plus • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related STEM discipline, or an alternative minimum of 10 years of experience in a related field • Advanced English required

🏖️ Benefits

• No benefits or compensation extras explicitly stated