
Data Architect Specialist
2 days ago
The role combines strategic leadership, platform architecture, and hands-on engineering to deliver a modern data foundation that supports high-impact business needs across analytics, machine learning, and operations.
Main Responsibilities- Lead the design and delivery of a modern, scalable data platform that meets the analytical, operational, and machine learning needs of the business.
- Evaluate, recommend, and implement a fit-for-purpose technology stack that balances performance, flexibility, and cost-efficiency.
- Establish reliable ingestion and transformation frameworks to integrate internal and external data sources at scale.
- Lead schema evolution strategies and data validation processes to minimize disruptions from upstream changes.
- Drive continuous improvement in platform reliability, data pipeline performance, and job orchestration.
- Experience designing and scaling modern data platforms in cloud environments (e.g., AWS, GCP, Azure), with an emphasis on performance, flexibility, and cost-efficiency.
- Strong proficiency in data engineering languages and frameworks (e.g., SQL, Python, Spark), with the ability to mentor and guide engineers in their usage.
- Solid understanding of batch and streaming architectures, and experience building reliable data ingestion pipelines across structured and semi-structured sources.
- Fluency in modern data tooling ecosystems including data lakes, lakehouses, transformation frameworks (e.g., dbt), and orchestration systems.
- Knowledge of data governance, access control, and compliance fundamentals (e.g., GDPR, PCI DSS) in collaboration with security and cloud teams.
We prioritize self-care and well-being. We encourage our employees to take breaks when needed, set boundaries, and seek support when facing challenges. A fulfilling life extends beyond work and we strive to create a safe environment where individuals feel comfortable discussing their wellbeing and accessing resources when necessary.
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