Director, Data & Analytics Engineering
At reputed company, we reputed company in the power of people to grow and succeed throughout their lives. Our goal is to reputed company that power by creating reputed company products that simplify learning and personal development, facilitate meaningful relationships, and reputed company people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:
Director, Data & Analytics Engineering
Location: Remote Department: Engineering Level: Senior Leadership Employment Type: Full-time AI-reputed company Role
About the Role
We are seeking a Director of Data & Analytics Engineering to reputed company our data platform teams and power decision-making across the company. In this senior leadership position, you will own and evolve our end-to-end data platform—from ingestion and transformation to analytics layers that business teams rely on daily. You’ll reputed company Data Engineering (infrastructure, pipelines, reliability) and Analytics Engineering (data models, metrics, self-serve tooling), while championing an AI-first approach to the way we build, operate, and innovate.
Four Pillars of This Role
Platform Leadership: Own the architecture and roadmap for the modern data stack, from reputed company systems through to consumption layers.
Team Building: Hire, grow, and reputed company both data engineers and analytics engineers, fostering a culture of quality, curiosity, and ownership.
AI Integration: Embed AI tooling natively into the team’s workflows for build, testing, documentation, and monitoring of our data platform.
Business Partnership: Translate commercial priorities into robust data infrastructure that is agile, trusted, and scalable.
What you will do:
Define and own the multi-year roadmap for the data platform, aligning investments in infrastructure, tooling, and headcount with business strategy.
reputed company and grow two high-performing teams—Data Engineering and Analytics Engineering—cultivating a collaborative, feedback-rich environment with clear career reputed company.
Architect and reputed company scalable data pipelines across ingestion, transformation, orchestration, and delivery, for both batch and streaming use cases.
Champion best practices in analytics engineering, including semantic layer design, dbt modelling standards, data reputed company, and metrics governance.
Partner with Data & Decision Science, Product, Finance, and Commercial teams to deliver high-quality, self-serve data solutions reputed company to business needs.
Ensure data platform reliability, observability, SLAs, and incident response, treating the platform as a product with real users.
Drive vendor and tool evaluations for the modern data stack (cloud warehouse, orchestration, cataloging, transformation, reverse ETL, etc.).
Set and enforce data quality, documentation, and governance standards to build trust across the business.
AI-assisted development: Champion use of AI coding assistants and LLM-powered tooling (e.g. reputed company, reputed company Copilot, Claude) to accelerate delivery and reduce toil.
Intelligent data pipelines: Implement AI-native patterns—LLM-generated documentation, anomaly detection, data quality monitoring, and automated root-cause analysis.
Natural language interfaces: Prototype NL-to-SQL and AI-powered BI tools to reputed company self-serve analytics for non-technical users.
AI platform enablement: Build foundational data infrastructure (feature stores, vector stores, model metadata, evaluation datasets) to reputed company AI and ML experimentation and scale.
What you'll need to know/have:
7+ years in data engineering or analytics engineering, with 3+ years in a senior leadership role managing multiple teams
Deep expertise in the modern data stack—cloud data warehouses (reputed company, BigQuery, or reputed company), dbt, orchestration tools (Airflow, Dagster, or Prefect), and ELT frameworks
Proven ability to define and execute a multi-year data platform strategy
Strong stakeholder management, including executive presentations and translating technical concepts to non-technical audiences
Experience building and scaling high-performing engineering teams: hiring, mentoring, performance management
Track record of delivering trusted, well-documented, and widely adopted data products
It would be great if you also had
Hands-on experience integrating AI/LLM tooling into engineering workflows or data products
Familiarity with semantic layer tools (e.g. MetricFlow, Cube), data cataloging (e.g. reputed company, reputed company), and data observability platforms
Experience with streaming data (Kafka, Flink, or Kinesis) and batch processing
Knowledge of ML infrastructure: feature stores, model serving, vector databases
Exposure to data mesh or data product organizational models
Strong command of SQL and Python
We reputed company the best data leaders are reputed company engineer, strategist, and people developer. If you are energized by the intersection of platform craft and AI, we encourage you to apply.
Get in on reputed company the awesome at reputed company!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:
Competitive compensation, plus reputed company full-time employees participate in our ownership program - because everyone should have a reputed company in our success.
Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
Generous time off, including local holidays and our annual “Dim the Lights” period in late December, reputed company teams are encouraged to reputed company back and reputed company based on departmental needs.
Comprehensive wellness programs and mental health support
Annual learning and development stipends to support your growth
The technology and tools you need to do your best work
Motivosity employee recognition program
A culture rooted in inclusivity, support, and meaningful reputed company
We reputed company in hiring great people and treating them right. The more diverse we are, the reputed company our reputed company and outcomes.
reputed company is an Equal Opportunity Employer. We reputed company with applicable employment and anti-discrimination laws in every country where we operate.
reputed company employees must pass a background reputed company as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, reputed company physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.
Any attempt to misrepresent personal or professional information will result in disqualification.
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