What are the responsibilities and job description for the Dataiku Platform engineer position at Javen Technologies, Inc?
Seeking to fill in a Dataiku platform developer with banking domain for immediate onsite w2 contract opportunity with my direct client in Cincinnati OH.
If interested , share your word document resume, work authorization, expected hourly pay rate, current location, availability for onsite work as per need , skill stack and LinkedIn.
Reach me for more details. thanks.
Relocate on own expenses.
If not, Appreciate any referrals.
looking for Dataiku administration or platform exp . interview 2 rounds, 1 with Resource Manager (Teams), 1 with team onsite
TECHNICAL SKILLS
Must Have
- Dataiku DSS, Python, SQL, Linux/Unix
- Snowflake,terraform,GitHub,REST API''''s
- DBT,AWS
Dataiku Platform
JOB DESCRIPTION
We are seeking a Data Platform Engineer to lead the architectural hardening and enterprise integration of Dataiku within our modern data stack (Snowflake, DBT, AWS). This is not a traditional data science role; you will be the primary architect responsible for building the governance-as-code layer that allows non-technical users (e.g., Finance) to innovate safely. Your mission is to bridge the gap between rapid prototyping and production-grade engineering by implementing automated project standards, data quality gates, and secure tokenization patterns.
Key Responsibilities
• Platform Hardening: Design and implement Dataiku Project Standards to act as a linter for production readiness, ensuring all projects meet naming, metadata, and security requirements.
• Governance Automation: Develop custom Dataiku plugins and API integrations to automate Tier 1 & Tier 2 Data Quality checks, blocking promotion to production if standards are not met.
• Secure Architecture: Partner with Information Security to integrate Fortanix tokenization and field-level encryption directly into Dataiku visual recipes and Python code-based workflows.
• Hybrid Integration: Build and maintain the Promotion Path where ad-hoc Dataiku prototypes are hardened and, where necessary, refactored into DBT for long-term enterprise use.
• Operational Excellence: Integrate Dataiku monitoring with ServiceNow to automate incident creation for pipeline failures or data quality drift.
• User Enablement: Serve as the technical Steward for non-technical business units, providing them with approved templates and secure data products in the Data Exchange.