Technical Lead​/Architect - Data Engineers

Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, News Corp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences.

At intive, agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication. Be part of a team that’s shaping the future of digital innovation.

• Lead the design and implementation of the organization’s Data Governance framework.
• Define and oversee metadata management, data catalog, business glossary, data lineage, and role-based access control (RBAC) strategies.
• Establish data quality and data security methodologies, including automated quality controls, data classification, access governance, auditing, and PII protection.
• Lead infrastructure assessments and fit-gap analyses to support platform sizing and architecture decisions.
• Define and execute data warehouse modernization and migration strategies, including coexistence approaches, CDC, reconciliation, and controlled decommissioning of legacy platforms.
• Lead Proof of Concepts (PoCs), define acceptance criteria, and present recommendations that support architectural decisions.
• Define engineering standards for Data Engineering, Data Ops, CI/CD, MLOps, and AI-powered development practices.
• Establish AI governance and AI engineering frameworks, including model lifecycle management, responsible AI practices, and agentic AI integrations.

• Strong knowledge of data governance standards and frameworks such as DAMA-DMBOK and maturity assessment models such as TM Forum.
• 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.
• 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.

• Hands-on experience with modern Lakehouse architectures using Apache Iceberg, Delta Lake, Apache Spark, Trino, dbt, Airflow, Kafka, and Debezium.
• Experience working with object storage platforms such as MinIO, Amazon S3, or equivalent technologies.
• Experience operating Kubernetes-based environments, including Open Shift, 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 MLOps platforms such as MLflow, KServe, and Evidently.
• Experience with Generative AI, Agentic AI, RAG architectures, MCP (Model Context Protocol), or AI-enabled data platforms.
• Cloud certifications related to AWS, Azure, GCP, Kubernetes (CKA), or Open Shift.
• Experience with AI-assisted software development tools such as Claude Code or similar platforms, including governance, quality gates, and automated migration of legacy data pipelines.

Why Join intive?

We cultivate an environment where innovative ideas and excellence have room to thrive - even with a remote workforce. Our culture of learning rewards curiosity and gives our team members opportunities to learn, grow, and own the evolution of their careers.

• Career Path Planning – You can create a career path based on your goals. We provide training, mentoring, and support to help you along the way.

• Training & Mentorship – Learning…