Data Engineer

Odaseva•Paris, TX

29d•Hybrid

About The Position

Since 2012 Odaseva has helped global enterprises secure and manage their most valuable asset: data. The Odaseva EnterpriseData Platform secures and manages Salesforce data, ensuring data resilience, regulatory compliance, and unlocking the value of data. It's built to solve the complex challenges of large-scale global enterprises. We're a fast-growing scale-up with offices in San Francisco, Paris, Sydney, London, Kuala Lumpur, Singapore, and more. We serve a global customer base including Fortune 500 companies, government organizations, and NGOs supporting more than 100 million Salesforce users worldwide. At Odaseva, our values, Trust, Service, Commitment, Excellence, Kaizen, and One Team, define the environment we foster for our employees to thrive and succeed. Join Odaseva's R&D team and help shape the future of our data platform. We're a SaaS company specializing in secure data management around Salesforce environments. You'll design, build, and optimize scalable data pipelines and help kick-start our first AI use cases.

Requirements

Equivalent engineering school degree, or a Master's degree in Computer Science, Data Science, or Applied Mathematics.
7-12 years in data engineering or backend data platforms.
Strong Python and SQL; experience with Spark and modern ELT/Orchestration (e.g., dbt, Airflow).
Hands-on with Databricks and/or Snowflake in production.
Experience on AWS (S3, Glue/Athena, Redshift, Lambda) and lakehouse formats (Iceberg or Delta Lake).
Familiarity with data security, governance, and compliance.
Proven experience with data modeling.
Knowledge of cost management principles.
Fluent in English and French, clear communication, ownership mindset, and collaborative approach.
Excellent interpersonal skills and ability to interact with diverse business stakeholders

Nice To Haves

Salesforce data knowledge is a plus, not mandatory.
Foundational AI/ML understanding and motivation to contribute to early use cases.

Responsibilities

Data Pipeline Development: Design, build, and maintain ingestion/processing pipelines at scale using Python/SQL and Spark; operate within a lakehouse stack (Apache Iceberg or Delta Lake).
Databricks & Snowflake Engineering: Implement and optimize workflows on Databricks (Jobs, Workflows, Delta) and/or Snowflake (Warehouses, Tasks, Streams) and/or native cloud provider solutions (AWS / AZURE).
Platform Optimization: Improve performance, reliability, and cost on AWS (S3, Redshift, Athena/Glue, Lambda), with strong observability and IaC practices.
Secure Data Management: Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers.
AI Use Case Enablement: Partner with Product team and R&D team to prepare data for initial AI/ML use cases (feature pipelines, data quality, lineage).
Data Sharing & Integration: Enable secure, efficient data access for customers via connectors, APIs, and lakehouse sharing patterns (e.g., Delta Sharing, Snowflake data sharing).

Benefits

At Odaseva, we believe in fostering an inclusive, supportive work environment where talented people can innovate and grow. Our culture is built on being smart, humble, hardworking, and above all-collaborative.
Our core values define who we are: Trust, Customer Centricity, Engagement, Excellence, Continuous Innovation, and Teamwork.
Inclusive & Diverse - We champion equality and embrace diversity.
Supportive & Collaborative - A team of smart, kind professionals who uplift each other through teamwork, not competition.
Excellence with a Casual Touch - High professional standards in a relaxed, approachable work culture.
Impact-Driven - A place where you can truly make a difference and advance your career.
Innovators in Data & Cloud - Leading the way in cutting-edge technology and solutions.
Competitive & Rewarding - Offering industry-leading compensation and benefits.
Truly Global - With offices in Paris, San Francisco, Sydney, and London, and a worldwide presence.
Flexible Work Environment - We support a hybrid, flexible office culture.