Director - Data Engineering
Director - Data Engineering
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Job Description
We are seeking a strategic Director of Data & AI Engineering to lead the growth and evolution of our data engineering function. This role will play a pivotal part in designing scalable platforms enabling advanced AI and ML applications and building a world-class engineering team. The ideal candidate is both a seasoned technical leader and a visionary strategist who thrives at the intersection of innovation execution and impact. You will collaborate with internal and client teams to develop systems and infrastructure that power intelligent products and data-driven decision-making. You will also build and mentor a high-performing team of Data and AI Engineers foster a modern data culture and champion best practices for scalable architecture AI integration and engineering excellence.
Responsibilities:
Solution Design & Engineering Leadership
- Architect and build scalable high-performance data and AI pipelines using tools such as Spark PySpark SQL Python DBT Airflow and cloud-native platforms (AWS GCP or Azure).
- Lead the design of hybrid/on-prem data platforms incorporating security governance and performance optimization.
Strategic Client & Stakeholder Engagement
- Serve as a trusted technical advisor to internal and external stakeholders.
- Translate complex business needs into practical engineering solutions and oversee the end-to-end delivery lifecycle.
AI-Driven Productivity & Innovation
- Introduce and scale AI-driven tools and practices to accelerate development and enhance data quality resilience and maintainability.
- Champion the adoption of generative AI and foundation models to enable intelligent automation and insight generation.
Growth & Team Leadership
- Build lead and inspire a diverse team of Data Engineers ML Engineers and AI Specialists.
- Set a clear vision and goals provide mentorship and cultivate a strong engineering culture and standards.
Platform and Data Strategy
- Lead initiatives to modernize data infrastructure improve data discoverability and support real-time analytics and experimentation.
- Collaborate cross-functionally to shape product data strategies and influence the overall AI roadmap.
Presales & Business Development Support
- Partner with sales and solution teams to craft compelling proposals technical solutions and client presentations.
- Represent the engineering function in client discussions workshops and RFP responses to articulate value and differentiation.
- Support opportunity scoping estimation and roadmap planning for prospective engagements.
Qualifications :
- 10 years of experience in data engineering AI/ML engineering or product/platform engineering.
- Proven track record of leading high-performing teams and managing senior engineers and managers.
- Bachelors or masters degree in computer science Engineering or a related field.
- Extensive experience with big data technologies and modern cloud ecosystems.
- Strong knowledge of AI/ML methods and their real-world applications.
- Experience in social media content platforms or high-scale product companies (e.g. Meta LinkedIn Google).
- 5 years managing large teams (20 engineers and managers).
- Demonstrated success in growing a data platform from 01 or scaling through significant growth phases.
- Exposure to Generative AI LLMs embeddings recommender systems or real-time personalization.
- Experience supporting presales technical solutioning and client-facing engineering roles.
Additional Information :
- Strategic vision with hands-on technical expertise
- Excellent communication and stakeholder engagement skills
- Strong leadership talent development and recruitment capabilities
- Passion for solving complex ambiguous problems with AI and data
- Deep understanding of large-scale distributed systems data modelling and ML pipeline orchestration
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
