The Role
As a Data Engineer, you will design and optimize scalable data pipelines, work with Databricks and Snowflake, and enable AI use cases.
Summary Generated by Built In
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.
Key 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).
Experience and Background
- 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.
- Salesforce data knowledge is a plus, not mandatory.
- Foundational AI/ML understanding and motivation to contribute to early use cases.
- Fluent in English and French, clear communication, ownership mindset, and collaborative approach.
- Excellent interpersonal skills and ability to interact with diverse business stakeholders
Where you'll be
- Based in Paris (75002), France.
- Hybrid: 3 days in the office / 2 days remote work.
- Full time permanent contract position.
Who We Are
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.
At Odaseva, we are an Equal Employment Opportunity (EEO) employer. We consider all applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.
Compensation:
The compensation range will be determined as a reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors.
If this sounds like the right place for you, we encourage you to apply!
Top Skills
Apache Iceberg
Athena
AWS
Databricks
Delta Lake
Glue
Python
Redshift
Snowflake
Spark
SQL
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The Company
What We Do
At enterprise scale, Salesforce data is different. Data volumes are large. Data models are more sophisticated. Integrations, regulations, and business processes are much more intricate. All this complexity dramatically increases the risks to your data threatening to grind business to a halt. Odaseva is the only data platform built specifically to help the world's largest, most ambitious Salesforce customers keep their data protected, compliant, and agile.
With Odaseva, Salesforce architects and platform owners get a powerful set of tools to help solve the problems at the foundation of the Salesforce data value chain. Keep customer data intact and available with comprehensive backup and archiving, apply analytics to prevent disruptions before they happen, use automation to take control of the entire data lifecycle and solve privacy and compliance issues at the root, and easily move data between production and non-production environments, to sandboxes, and to systems outside Salesforce.
White Paper: Odaseva Complete Guide to Salesforce Backup and Restore
https://www.odaseva.com/complete-guide-to-salesforce-backup-and-restore
