Senior Data Architect – Distributed Cloud

About the role

We are seeking a seasoned and strategic Senior Data Architect to lead the vision, design, and governance of our enterprise data ecosystem. This role is crucial for establishing scalable, secure, and reliable data platforms that fuel our business intelligence, advanced analytics, and machine learning initiatives across the organization.

Key responsibilities

• Define and govern the enterprise data architecture, including strategy, principles, and blueprints for Data Lake, Data Warehouse, and integration platforms.
• Design and implement scalable ETL/ELT solutions and data processing pipelines ensuring optimal data flow and minimal latency.
• Evaluate and recommend new data technologies (cloud platforms, streaming tools, NoSQL databases) to keep the ecosystem modern and cost‑effective.
• Establish and enforce Data Governance, Data Quality, metadata management and security policies.
• Provide technical leadership and mentorship to Data Engineering and Data Science teams.
• Collaborate with business stakeholders and IT leadership to translate strategy into technical roadmaps.

Required profile

• 7+ years of progressive experience in Data Engineering or Data Architecture.
• Proven experience designing production‑grade Data Warehouse and Data Lake architectures.
• Strong expertise in SQL and at least one distributed computing technology (e.g., Spark).
• Hands‑on experience with a major cloud platform (AWS, Azure or GCP) and its native data services.
• Demonstrated ability to define and implement Data Governance, Data Quality and Metadata Management frameworks.
• Excellent communication skills to convey complex architectural concepts to technical and business audiences.

Required skills

• SQL
• Spark
• AWS
• Azure
• GCP
• Kafka
• Kinesis
• Pub/Sub
• Terraform
• NoSQL databases