DataIku Data Science Architect

͏Job Description

Mandatory Skills	DataIku, Machine Learning, Python for Data Science
Good To Have	DataIku Admin, Mongo DB, Cloud Platforms (AWS/ Azure/ GCP),  Cloud-native data services, including Snowflake, BigQuery, or Databricks

͏Detailed JD

    8+ years of experience as an architect, administrator, or similar capacity on Data Science platforms.
•    Proficiency in configuring and optimizing Dataiku’s architecture, including data connections, security settings and workflow management.
•    Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and cloud-native data services, including Snowflake, BigQuery, or Databricks
•    Expertise in python scripting, automation and development of custom workflows in Dataiku
•    Knowledge of data security best practices, including user access control, data encryption, and compliance requirements (e.g., GDPR, HIPAA)
•    Experience with managing and monitoring server environments (e.g., Linux, Windows)
•    Experienced in machine learning models, workflows, model training, evaluation, and deployment practices
•    Demonstrate leadership skills, with the ability to mentor and guide junior Dataiku users, data engineers, and data scientists.
•    Excellent collaboration skills, enabling effective work with cross-functional teams
•    Experience managing multiple projects simultaneously, including project planning, prioritization, and meeting deadlines.
•    Familiarity with Agile methodologies and project management tools
•    Technical reviews, Data validation & end to end testing of project flows.
•    Create necessary documentation as per the Standards and Update the project documentation.
•    Support QE on End-to-End testing and provide daily/weekly project status to the Project manager
•    Work with deployment team in the code migration across the environments
•    Triage the Production issues and work on the code fixes
•    Should be very Good Team Player with Excellent verbal and written communication skills