Job Description Senior Data Engineering & AI Platform Engineer (Contract-to-Hire)

Key Responsibilities
- Design, build, and operate scalable data engineering platforms using up-to-date ETL/ELT frameworks, including Azure Data Factory, Delta Lake, and cloud-native pipelines.
- Architect modular, reusable data systems supporting batch and streaming workloads, advanced analytics, and AI/ML use cases.
- Influence enterprise data and AI platform architecture, including lakehouse design, metadata management, and data quality frameworks.
- Develop and optimize PL/SQL, Python, and Unix-based data processing solutions for high-volume, low-latency data pipelines.
- Enable Generative AI use cases by designing structured and unstructured data pipelines supporting NLP, prompt engineering, vectorization, RAG, and inference workflows.
- Drive code reusability and standardized engineering patterns through shared frameworks, libraries, and best practices.
- Implement mature DevOps and DataOps practices, including CI/CD, automated testing, monitoring, incident management, and cloud cost optimization.




- Analyze complex business and data challenges, translating them into scalable engineering and AI solutions that deliver measurable business value.
- Lead adoption of best practices in data modeling, security, governance, and regulatory compliance.
- Modernize existing data platforms to improve performance, scalability, reliability, and AI readiness.
- Collaborate with business, analytics, data science, and product teams in an Agile environment to deliver high-impact solutions.
- Mentor engineers on cloud, data engineering, and Generative AI technologies while promoting engineering excellence.
- Support technical hiring, interview processes, and capability development across teams.
- Communicate technical solutions effectively to both technical and business stakeholders through presentations, demos, and architecture discussions.

Required Skills
- Strong experience in Data Engineering and m

📌 Senior Data Engineering (India)
🏢 Futran Tech Solutions
📍 India