Data Platform Intelligence Manager - B2B
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Requirements
• Languages: Python, SQLOrchestration: Dagster (migrating from legacy Airflow)Compute & Storage: AWS Redshift, S3, Clickhouse, AthenaTransformation: dbt (Core/Cloud), FivetranInfrastructure: AWS (ECS/EKS, Glue, Lambda), Terraform with TerragruntAI/GenAI: AWS Bedrock, AWS Agentcore, LangChain • Languages: • Orchestration: • Compute & Storage: • Transformation: • Infrastructure: • AI/GenAI: • 5+ years of hands-on experience leading Data Engineering teams, with a proven track record of delivering complex data products end-to-end. Candidates new to people management or transitioning into their first leadership role will not be considered. • Demonstrated success in hiring, developing, and retaining high-performing engineers. • Experience managing remote or distributed teams preferred. • Technical Background • 8+ years total experience in Data Engineering or Software Engineering. • 8+ years • Deep understanding of the modern data stack: Python, SQL, Cloud Data Warehouses (Redshift/Snowflake/BigQuery), and Orchestration tools (Airflow/Dagster/Prefect). • You don't need to be the best coder in the room anymore, but you must have the technical depth to review code, challenge estimates, and spot architectural risks. • Methodology & Operations • Strong experience with Agile/Scrum methodologies and project management tools (Jira, Linear, etc.). • Experience managing SLAs and production incidents in high-stakes environments. • Track record of establishing operational excellence through monitoring, alerting, and incident response. • Desired Capabilities (Nice-to-Have) • Background in proptech, real estate, or two-sided marketplace platforms. • Experience with streaming data systems and event-driven architectures. • Familiarity with ML infrastructure, feature stores, and GenAI integration in data workflows. • Knowledge of data observability and quality frameworks (Monte Carlo, Great Expectations). • Exposure to FinOps practices and cloud cost optimization strategies. • Our promise to talent • At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed. • Property Finder Guiding Principles • Think Future First • Data Beats Opinions, Speed Beats Perfection • Optimise for Impact • No Ostriches Allowed • Our People, Our Power • The Biggest Risk is Taking no Risk at All • Find us at:
Responsibilities
• 1. Business Alignment & Strategic Delivery • Drive Business OKRs • Drive Business OKRs • Move beyond "closing tickets" to delivering tangible business value. Ensure your team understands why they're building a pipeline, not just how. • Partner closely with Product Managers to translate business requirements into technical roadmaps, prioritizing initiatives that directly impact company objectives. • Own the "Universal Translator" role: Articulate technical debt, risks, and architectural trade-offs (e.g., cost vs. latency) in language that Product, Finance, and Executive teams understand. • Delivery Excellence • Delivery Excellence • Own the agile delivery process (Sprint Planning, Standups, Retrospectives), ensuring predictable, high-quality delivery of data initiatives. • Collaborate with stakeholders to prioritize backlogs, balancing new features, tech debt, and infrastructure investments. • Act as the primary point of contact for downstream data consumers (Data Science, Analytics, Product teams). • 2. Systems Thinking & Operational Excellence • Build Resilient Systems • Move the team away from "hero engineering." When something breaks twice, fix the system that allowed it to break, not just the symptom. • Enforce coding standards, CI/CD practices, and architectural guidelines that scale. • Proactively identify and eliminate bad processes, useless meetings, and low-value work dragging down velocity. • Own Platform Health • Own Platform Health • Monitor and maintain SLAs, data freshness, pipeline reliability, and incident response processes. • Lead Root Cause Analysis (RCA) with focus on systemic fixes and preventing recurrence. • Champion Cloud Cost Optimization (FinOps) practices on AWS. • 3. People Leadership & Talent Development • Coaching & Growth • Coaching & Growth • Manage, mentor, and coach a team of 6-8 Data Engineers, fostering a culture of technical excellence and psychological safety. • Conduct meaningful 1:1s, performance reviews, and career planning, develop engineers into Senior and Principal roles. • Your goal: Make yourself redundant in day-to-day operations by growing your direct reports into leaders. • Performance Management • Set high standards. Believe that "speed with correction beats slowness with perfection." • Address performance issues directly and constructively. Have difficult conversations when needed to maintain team excellence. • Celebrate wins and create opportunities for engineers to showcase their work. • Recruiting & Retention • Lead hiring efforts as a bar-raiser for talent, ensuring we hire engineers who fit our culture of ownership and autonomy. • Drive onboarding processes that set new hires up for rapid impact. • Build diverse, inclusive teams and create an environment where everyone can do their best work. • 4. AI & Generative Intelligence Enablement • Automate core workflows (documentation, data validation, metadata) to multiply team output. • Build natural-language interfaces for frictionless, enterprise-wide data access. • Architect scalable feature pipelines to power predictive models and monetization algorithms. • Slash data cycle times using AI-assisted development and automation. • Deploy LLM-powered observability and automated RCA to drastically reduce MTTR.