Odaseva

Salesforce data governance, protection, compliance

Big Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeParis, FranceNo salary listed

About the Job

Requirements

At least 7 years of experience in data engineering or backend data platforms, including at least 3 years of hands-on experience building and operating big data pipelines.
A hands-on engineering background with a proven track record handling large data volumes of at least hundreds of terabytes.
Deep knowledge of at least one data lake platform: Databricks, Snowflake, or AWS Redshift.
Strong expertise in Apache Spark, including creating, handling, and monitoring pipelines, and in lakehouse table formats such as Delta Lake or Apache Iceberg.
Strong Python or Java and SQL skills, cloud infrastructure experience with AWS S3, Athena, and Glue, and infrastructure-as-code and observability practices.
A solid understanding of cost management principles, data security, governance, and data modeling.
An equivalent engineering school degree or a Master's degree in Computer Science, Data Science, or Applied Mathematics.
Fluency in English and French.

Responsibilities

Design, build, handle, and monitor Spark data pipelines for large-volume data lake ingestion, handling hundreds of terabytes.
Continuously optimize the performance, reliability, and costs of big data pipelines and infrastructure.
Use Databricks, Snowflake, or AWS Redshift, alongside cloud provider solutions such as AWS S3, Glue/Athena, and Lambda, for scalable data engineering.
Manage, create, and optimize Delta Lake or Apache Iceberg tables.
Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers.

Odaseva provides enterprise data management and security solutions that help organizations exercise sovereignty over their critical data.

Companies representing 10% of global market capitalization trust Odaseva, including Schneider Electric, Volkswagen and Robert Half.

Its Excalibur Data Platform enables customers to protect, secure, move, and use data and code independently of application vendors.

The platform supports complex and high-volume use cases, including backup, archiving, zero-copy, BCDR & High Availability, data federation, and semantic AI orchestration.

Customer-controlled end-to-end encryption raises the bar for enterprise security.

With 11 patents, Odaseva manages 50 trillion records and supports 100 million users.

Key Responsibilities

Data Pipeline Development & Operations: Design, build, handle, and monitor Spark data pipelines for large-volume data lake ingestion (handling hundreds of TBs).

Platform & Cost Optimization: Continuously optimize the performance, reliability, and costs of big data pipelines and infrastructure.

Databricks, Snowflake & Cloud Engineering: Deeply leverage Databricks, Snowflake, or AWS Redshift, alongside cloud provider solutions (AWS S3, Glue/Athena, Lambda) for scalable data engineering.

Lakehouse Architecture: Demonstrate strong expertise in managing, creating, and optimizing Delta Lake or Apache Iceberg tables.

Secure Data Management: Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers.

Required Qualifications

7+ years of experience in data engineering or backend data platforms, with at least 3 years of hands-on experience building and operating big data pipelines.

Hands-on engineer background with proven track record handling large volumes of data (at least hundreds of TB).

Deep knowledge of at least one data lake platform among Databricks, Snowflake, or AWS Redshift.

Strong expertise in Apache Spark (creation, handling, and monitoring of pipelines) and lakehouse table formats (Delta Lake or Apache Iceberg).

Strong Python or Java and SQL skills, cloud infrastructure (AWS S3, Athena, Glue), and IaC/observability practices.

Solid understanding of cost management principles, data security, governance, and data modeling.

Equivalent engineering school degree or Master’s degree in Computer Science, Data Science, or Applied Mathematics.

Fluent in English and French, with clear communication, ownership mindset, and strong collaborative skills.

Where you'll be

Based in Paris (75002), France.

Hybrid: 3 days in the office / 2 days remote work.

Full time permanent contract position.

About the Company

Odaseva

Salesforce data governance, protection, compliance

Odaseva provides data governance for Salesforce, offering backup and restore (data protection), data compliance (GDPR, CCPA), and data operations (automation and data quality) for large enterprises and nonprofits. It delivers a subscription-based suite that integrates with Salesforce to automatically back up data, enable quick recovery, enforce regulatory compliance, and automate data-management tasks to improve data quality and speed up innovations. Differentiation comes from focusing on Salesforce data governance at scale, combining protection, compliance, and operations in a single platform with customizable solutions for large organizations. The company aims to help customers protect, govern, and optimize their Salesforce data to stay compliant and operate efficiently.

Company size: 51-200
Company stage: Series C
Total funding: $91.1M
Headquarters: San Francisco, CA
Founded: 2012

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