3 days ago
Aix-en-Provence, FranceStaff+
Responsibilities
- Define and evolve the architecture of data pipelines and processing workloads.
- Establish engineering patterns for data ingestion, transformation, and exposure.
- Implement team DataOps standards covering automated testing, quality, monitoring, alerting, and operations.
- Lead production reliability through observability, incident management, recovery processes, and SLA/SLO practices.
- Ensure platform performance, scalability, and cost control.
- Define data modeling and industrialization standards.
- Provide technical leadership to Data Engineers and validate technical decisions.
- Collaborate with Cloud, Platform, Security, Analytics, and Architecture teams.
- Contribute to data-platform modernization, rationalization, and migration initiatives.
Requirements
- Strong expertise in Snowflake databases, schemas, warehouses, query optimization, and cost management.
- Experience with SQL ELT, semi-structured JSON data, and cloud ingestion patterns.
- Knowledge of Snowpipe, Snowpipe Streaming, Streams, Tasks, and Dynamic Tables.
- Knowledge of RBAC, security policies, masking, and access governance.
- Ability to define data-platform architecture, engineering standards, and production reliability practices.
- Ability to provide technical direction to Data Engineers.
Tech Stack
SnowflakeSQL
Categories
Data Engineering
About Talan
Talan is a Paris‑headquartered, privately held consulting and technology group that delivers data, AI, and IT services to large enterprises. It combines management consulting with systems integration, software engineering, and production support across sectors such as banking and financial services, energy, transport, retail, and healthcare. The firm operates internationally and supports clients’ end‑to‑end change programs, from CRM and agile transformations to architecture, application development, and run.