
Data Ecosystem Architect
4 days ago
At SpinTheory.ai, we are redefining the future of data platforms. We're not just building systems; we're crafting a new era of clarity, speed, and business value for our clients. As a high-growth startup with global ambitions, we thrive on bold ideas, rapid execution, and relentless curiosity.
We believe in empowering our people to architect the next generation of data ecosystems, working side by side with innovators who challenge the status quo. Flexibility, ownership, and adaptability aren't perks here; they are part of the DNA that fuels our growth.
By joining us, you enter a culture where integrity drives action, customer success defines impact, collaboration sparks innovation, and continuous learning is the only constant. Together, we're creating a future where data and AI accelerate possibilities.
Our Mission:
- To transform enterprise complexity into actionable insights.
- To deliver intuitive user experiences that drive business outcomes.
Job Summary:
The Cognitive Search Engineer will lead the design and implementation of AI-powered search and discovery solutions. This role enables 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, 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.
Requirements:
- Bachelor's degree in Computer Science, IT, or related field.
- 7–10 years of experience in data engineering, with 2+ years in cognitive search/NLP solutions.
- Hands-on experience with Azure cloud ecosystem, Snowflake/Synapse, and modern data platforms.
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