
Data Engineering Architect
5 days ago
We are seeking an experienced Data Engineering Architect to join our team. As a key member of our organization, you will design and implement AI-powered search and discovery solutions that enable natural language insights from structured and unstructured data, reports, and dashboards.
Key Responsibilities:- Architect and implement cognitive search solutions using Azure Cognitive Search and related AI services.
- Build pipelines to ingest, index, and enrich data from diverse sources (databases, reports, dashboards, documents).
- Enable natural language query capabilities for business users to interact with enterprise data.
- Integrate semantic search, embeddings, and generative AI techniques for advanced insights.
- Collaborate with business teams to define use cases in finance, operations, and reporting.
- Partner with data lake and ADF pipeline teams to ensure seamless integration.
- Adopt agile, iterative delivery to validate and scale solutions rapidly.
- Ensure compliance, data security, and ethical AI usage in search solutions.
- Mentor team members on AI search and NLP best practices.
- Strong experience with Azure Cognitive Search, Cognitive Services, and AI/ML frameworks.
- Proficiency in SQL, data modeling, and data integration for search indexing.
- Familiarity with embeddings, NLP, and vector search technologies.
- Experience connecting search solutions to BI tools, reports, and dashboards.
- Strong understanding of data governance and enterprise data management.
We are not just building data platforms; we are engineering the future of how organizations harness data and AI. We aim to transform enterprise complexity into clarity, speed, and measurable business value. As a high-growth startup with global ambitions, we thrive on bold thinking, rapid execution, and relentless curiosity.
We believe in empowering our people as much as our clients. Our company culture is built on collaboration, innovation, and mutual respect.
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