Technical Lead/ Architect - Data Engineers (AI)

Location: LATAM; remote workforce

Company

hirify.global is a technology services company delivering digital experiences across automotive, commerce, financial services, healthcare, life sciences, and technology, media, and communication.

What you will do

• Lead the design and implementation of the Data Governance framework.
• Define metadata management, data catalogs, business glossaries, data lineage, and RBAC strategies.
• Establish data quality, security, classification, access governance, auditing, and PII protection methodologies.
• Assess infrastructure, perform fit-gap analyses, and support platform sizing and architecture decisions.
• Lead data warehouse modernization and migration, including coexistence, CDC, reconciliation, and controlled legacy-platform decommissioning.
• Lead PoCs, define acceptance criteria, and establish engineering, AI governance, DataOps, CI/CD, MLOps, and AI engineering standards.

Requirements

• 3+ years of experience as a Data Architect leading data platform implementations or enterprise data warehouse modernization initiatives.
• 10+ years of overall experience in technology, data, analytics, or enterprise architecture environments.
• Strong knowledge of data governance standards and frameworks such as DAMA-DMBOK and maturity assessment models such as TM Forum.
• Experience with data security frameworks, including RBAC, IAM, dynamic data masking, auditing, and enterprise identity management solutions.
• Native Spanish speaker with excellent communication and stakeholder management skills.

Nice to have

• Experience with Lakehouse architectures and Apache Iceberg, Delta Lake, Apache Spark, Trino, dbt, Airflow, Kafka, and Debezium.
• Experience with MinIO, Amazon S3, or equivalent object storage platforms.
• Experience operating Kubernetes environments, including OpenShift, Rancher, or managed cloud platforms.
• Experience migrating from Oracle Data Warehouse or other legacy enterprise data platforms.
• Knowledge of TM Forum frameworks, including SID, eTOM, and Data Maturity Models.
• Experience with MLflow, KServe, Evidently, Generative AI, Agentic AI, RAG, MCP, or AI-enabled data platforms.
• Cloud certifications related to AWS, Azure, GCP, Kubernetes, or OpenShift.
• Experience with AI-assisted development tools such as Claude Code, including governance, quality gates, and automated legacy-pipeline migration.

Culture & Benefits

• Remote-work environment with a culture focused on innovation, learning, and career ownership.
• Career path planning, training, mentoring, and professional development support.
• Unlimited access to Udemy, internal courses, and training.
• Professional hubs for knowledge sharing and access to current technology trends.
• Connection across teams and functions within a diverse international organization.