Data Engineer/ Senior

**About the Role** ------------------ Supporting the Director of Engineering and the broader Engineering team, this **Senior Data Engineer** will operate at both a strategic and hands\-on level, working cross\-functionally with Product, Design, and Engineering teams. This is a **client\-facing** position in which you will: * Partner directly with a specific client * Help define modern data architecture strategies * Deliver robust, scalable, and production\-ready data solutions We are looking for someone who can balance architectural vision with hands\-on execution. **Responsibilities** -------------------- ### **Strategic Architecture Leadership** * Define the vision and roadmap for large\-scale data architecture across client engagements * Establish governance, security frameworks, and regulatory compliance standards * Lead platform selection, integration, and scalability decisions * Guide organizations in adopting data lakehouse architectures and federated data models ### **Client Value Creation** * Lead technical discovery sessions to understand client needs * Translate complex architectures into clear, actionable value for stakeholders * Build trusted advisor relationships as a strategic technical partner * Align architecture recommendations with business growth objectives ### **Technical Architecture \& Implementation** * Design and implement modern data lakehouse architectures using Delta Lake and Databricks * Build and manage scalable ETL/ELT pipelines using Spark (PySpark preferred) * Leverage Delta Live Tables, Unity Catalog, and schema evolution capabilities * Optimize storage and queries on cloud object storage (AWS S3, Azure Data Lake, etc.) * Integrate cloud\-native services such as AWS Glue, GCP Dataflow, and Azure Synapse * Implement data quality monitoring, lineage tracking, and schema versioning * Build orchestrated pipelines using Airflow, Step Functions, or Cloud Composer ### **Business Impact \& Solution Design** * Develop scalable, compliant, and cost\-optimized data solutions * Design and lead POCs and technical pilots * Translate business requirements into production\-ready data systems * Define and track success metrics for platform and pipeline initiatives **What We're Looking For** -------------------------- The ideal candidate will have: * 10\+ years of data engineering experience with enterprise\-scale systems * Strong expertise in Apache Spark and Delta Lake (ACID transactions, time travel, Z\-ordering, compaction) * Advanced experience with Databricks (Jobs, Clusters, Workspaces, Delta Live Tables, Unity Catalog) * Experience building scalable ETL/ELT pipelines (Airflow, Glue, Dataflow, or ADF) * Advanced SQL for data modeling and transformation * Strong programming skills in Python (Scala is a plus) * Experience with data formats such as Parquet, Avro, and JSON * Experience with schema evolution, versioning, and backfilling strategies * Experience with at least one major cloud platform: + AWS (S3, Athena, Redshift, Glue Catalog, Step Functions) + GCP (BigQuery, Cloud Storage, Dataflow, Pub/Sub) – nice to have + Azure (Synapse, Data Factory, Azure Databricks) – nice to have * Experience with real\-time or streaming data architectures (Kafka, Kinesis) * Consulting or client\-facing experience with strong communication skills * Experience with data mesh architectures and domain\-driven data design * Knowledge of metadata management, data cataloging, and lineage tools * Awareness of international data privacy regulations and compliant system design ### **Nice to Have** * Experience with healthcare data standards (HL7, FHIR, DICOM) * Experience with MLOps * Master's degree in a related field * Relevant cloud or data engineering certifications **Contract Details** -------------------- * 4–6 month contract (extension possible) * 100% remote within LATAM * 40 hours per week * Availability during standard business hours as required by the project * Fluent English (written and spoken) required Candidates interested in future long\-term opportunities will be considered a strong asset.