Data Architect / Data Engineer - Data Lake

Description

Job Summary: NEORIS is seeking a Data Architect / Data Engineer - Data Lake to design, implement, and optimize scalable and governed Data Lake architectures on AWS. Key Highlights: 1. Design and implementation of production Data Lakes on AWS 2. Multicultural collaboration 3. Professional development plan NEORIS is a Digital Accelerator helping companies step into the future, with 20 years of experience as Digital Partners to some of the world’s largest enterprises. We are over 4,000 professionals across 11 countries, with a multicultural startup culture that fosters innovation and continuous learning to deliver high-value solutions for our clients. We are looking for a **Data Architect / Data Engineer \- Data Lake**, Key Responsibilities: * Design scalable and governed Data Lake architectures. * Define and implement standardized data ingestion frameworks (ETL/ELT). * Data modeling and storage (zones: raw, curated, trusted). * Data cataloging and lineage. * Data exposure and consumption (APIs, BI, data sharing). * Implement data quality controls, validations, and monitoring. * Ensure compliance with governance, security, and regulatory policies (data privacy, auditability, traceability). * Optimize costs and performance in AWS environments. Collaborate with business, architecture, and security teams to align solutions with enterprise standards. Requirements: * Required experience: \+3\-5 years in Data Engineering / Data Architecture. * Proven experience designing and implementing production Data Lakes on AWS. * Participation in projects with regulatory/compliance requirements (financial, retail, telecom, etc.). * Experience defining standards and best practices (not only technical implementation). * Experience working with large volumes of data and multiple sources (structured and unstructured). * Technology stack (AWS) * Storage: Amazon S3 * Processing: AWS Glue, AWS Lambda, Amazon EMR * Orchestration: AWS Step Functions / MWAA (Airflow) * Catalog and governance: AWS Glue Data Catalog, AWS Lake Formation * Query: Amazon Athena, Redshift Spectrum * Streaming (desirable): Amazon Kinesis / MSK * Security: IAM, KMS, access policies * Lakehouse architectures and modern data patterns. * Data modeling (dimensional and analytics-oriented). * Data Governance (catalog, lineage, quality, ownership). * Data Quality frameworks (validation, profiling, rules). * AWS cost optimization (storage tiering, partitioning). * Solid understanding of data security and compliance. We Offer: * 100% nominal compensation scheme * Statutory benefits * Grocery vouchers * Additional benefits * Professional development plan * Multicultural collaboration We invite you to learn more about us at http://www.neoris.com, Facebook, LinkedIn, Twitter or Instagram: @NEORIS. Cynthia Valadez \#LI\-CV1