Overview
We are seeking a highly skilled Senior Dataiku Architect to lead the migration of analytics and data workloads from Lavastone to Dataiku, operating within a Snowflake data platform environment. This is a hands-on architecture role requiring deep Dataiku DSS expertise, strong Python and SQL engineering, and the ability to guide delivery across culturally diverse onshore and offshore teams.
A key expectation of this role is modern engineering practice, including the effective use of AI-assisted coding and automation tools such as Claude Code and GitHub Copilot to accelerate delivery, improve repeatability, and uplift quality, with appropriate governance and validation.
Key ResponsibilitiesArchitecture and Migration Leadership
* Lead end-to-end migration planning and execution for workloads transitioning from Lavastone to Dataiku
* Define target-state architecture for Dataiku projects, workflow patterns, and environment strategy (DEV/UAT/PROD)
* Establish migration approach: discovery, workload assessment, prioritisation, rebuild/refactor patterns, and cutover planning
* Ensure functional parity, performance improvements, and operational readiness post-migration
* Identify and mitigate migration risks including dependency mapping, environment differences, and data quality issues
Dataiku Platform Architecture and Standards
* Architect Dataiku DSS solutions including project structure, modular design, reusability, and performance optimisation
* Establish best practices for visual vs code recipes, managed folders, dataset design, and orchestration patterns
* Design automation and operational controls using scenarios, triggers, scheduling, monitoring, and alerting
* Provide hands-on technical direction and governance, including reviews and technical decisioning
Snowflake Data Platform Engineering
* Architect integration patterns between Dataiku and Snowflake (ELT/ETL strategy, pushdown optimisation, compute management)
* Drive best practices for SQL design, query optimisation, data modelling patterns, and incremental processing
* Ensure secure and efficient data access patterns aligned to enterprise security expectations
AI-Assisted Engineering and Coding Automation
* Use Claude Code and GitHub Copilot to accelerate engineering outputs (code generation, refactoring, documentation, test scaffolding)
* Define safe usage patterns: code validation, testing requirements, peer review, security and IP awareness
* Build and promote coding automation patterns to reduce repetitive work and improve delivery consistency
Leadership, Collaboration and Stakeholder Management
* Lead and mentor Dataiku developers (including offshore resources), providing clear technical direction and coaching
* Work effectively with product owners, data platform teams, and stakeholders to translate requirements into technical delivery
* Communicate clearly across culturally diverse teams and maintain high delivery cadence
Required Skills and Experience
* Extensive enterprise experience with Dataiku DSS (architecture + hands-on build)
* Proven track record delivering platform/workload migrations, ideally tool-to-tool migration (e.g., Lavastone to Dataiku)
* Strong Python engineering skills (OOP, packaging, performance tuning, reliability, testing)
* Advanced SQL skills with strong Snowflake experience (optimisation, ELT patterns, modelling)
* Strong experience with workflow orchestration, scheduling, automation, monitoring, and production support patterns
* Experience with source control and engineering discipline (GitHub, PRs, branching, reviews)
* Demonstrated ability to lead teams and deliver through onshore/offshore models
Desirable / Nice to Have
* Exposure to CI/CD patterns for data/analytics workflows
* Understanding of MLOps concepts (model lifecycle, deployment patterns, monitoring)
* Experience uplifting governance, documentation, and operating model maturity
Personal Attributes
* Strong problem solver, proactive and outcomes-focused
* Quick learner, self-driven, and comfortable with ambiguity
* Strong interpersonal skills; effective communicator
* Comfortable working in culturally diverse teams
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