Data Architect / Data Engineer - Data Lake

Description

Job Summary: NEORIS is seeking a Data Architect / Data Engineer - Data Lake to design, implement, and optimize Data Lake architectures on AWS, ensuring data governance, quality, and security. Key Highlights: 1. Design scalable and governed Data Lake architectures 2. Implement standardized data ingestion frameworks (ETL/ELT) 3. Optimize costs and performance in AWS environments NEORIS is a Digital Accelerator that helps 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, operating with a multicultural startup culture that fosters innovation and continuous learning to deliver high-value solutions for our clients. We are seeking 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, auditing, 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). * Hands-on work with large-scale data volumes 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). * Strong understanding of data security and compliance. We Offer: * 100% On-Payroll Employment Scheme * Statutory Benefits * Grocery Vouchers * Additional Benefits * Professional Development Plan * Multicultural Collaboration Learn more about us at http://www.neoris.com, Facebook, LinkedIn, Twitter or Instagram: @NEORIS. Cynthia Valadez \#LI\-CV1