Responsibilities
- Own the target-state architecture and technology roadmap for a next-generation Lakehouse data platform.
- Lead migration from traditional data warehouse architectures to modern, scalable Lakehouse architectures.
- Design architectures for data ingestion, storage, processing, governance, observability, security, AI enablement, and multi-tenant data isolation.
- Evaluate and guide adoption of Apache Iceberg, Delta Lake, Apache Spark, DuckDB, Trino, Flink, Kafka, and cloud-native analytics services.
- Enable generative AI applications, agentic AI workflows, RAG, vector databases, semantic search, and AI-assisted analytics.
- Partner with AI teams to operationalize ML and GenAI workloads and evaluate emerging AI technologies.
- Serve as the highest-level technical authority, conduct architecture reviews, and guide critical design decisions.
- Mentor architects and senior engineers and drive engineering excellence and technical innovation.
- Architect for high availability, performance, resiliency, cost optimization, observability, reliability, security, compliance, and data quality.
- Own critical tasks from specification review through final testing and deployment.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Engineering, AI, or a related field.
- 15+ years of overall software engineering experience, including 7+ years of professional software development experience in a product or SaaS environment building modern data platforms.
- Deep expertise in data warehouses, Data Mesh, modern data architectures, and data platforms.
- Deep experience with distributed data processing frameworks including Apache Spark, Trino, Flink, and Kafka, plus open table formats such as Apache Iceberg and Delta Lake.
- Experience designing and evolving large-scale distributed systems, microservices, event-driven architectures, and highly available production services.
- Strong knowledge of AWS, containerization, infrastructure automation, reliability, scalability, and cost-efficient platform engineering.
- Experience with CI/CD, code review, test automation, observability, release engineering, and DevOps practices.
- Understanding of authentication, authorization, encryption, secure design, and application security principles.
- Demonstrated experience building or guiding LLM and agentic systems, including prompt and context design, tool orchestration, structured outputs, and human-in-the-loop validation.
- Experience evaluating multiple LLMs or AI providers across quality, latency, cost, reliability, safety, and enterprise suitability.
- Understanding of production AI patterns including RAG, evaluation frameworks, prompt management, guardrails, fallback strategies, observability, and secure sensitive-data handling.
- Ability to define validation standards, identify AI risks, and maintain human accountability for technical decisions.
- Excellent communication, collaboration, organizational, mentorship, and technical-influence skills.
Benefits
- 12 vacation days, 10 casual leave days, and 11 public holidays.
- Competitive gratuity policy, group insurance, annual health checkup, and family and wellness benefits.
- Thrive Flex Lifestyle Account for health, financial, or learning interests.
- Five charitable days and wellness resources including Headspace and Wellbeats.
- RethinkCare caregiver support and diversity and inclusion programs with employee resource groups.
- Parental leave and employee referral bonuses.
- Education assistance, professional development opportunities, LinkedIn Learning, and a learning-focused culture.
- Hybrid work arrangement.
Tech Stack
Categories
About Ellucian
Ellucian powers innovation for higher education, partnering with approximately 3,000 customers across 50 countries, serving more than 21 million students. Ellucian's AI-powered platform, trained on the richest dataset available in higher education, drives efficiency, personalized experiences, and strengthened engagement for all students, faculty and staff. Fueled by decades of experience with a singular focus on the unique needs of learning institutions, the Ellucian platform features best-in-class SaaS capabilities and delivers insights needed now and into the future. These solutions and services span the entire student lifecycle, including data-rich tools for student recruitment, enrollment, and retention to workforce analytics, fundraising, and alumni engagement. Ellucian's innovative solutions, vast ecosystem of partners and user community of more than 45,000 provides best practices leading to greater institutional success and achieving better student outcomes.