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Senior, niche data-and-AI architect in metro Pune with reputable employer, moderate applicant density.
Requires deep lakehouse, Databricks, and Azure MLOps expertise, limiting cross-industry transferability.
Explicit 10–15 years and many mandatory cloud, Databricks, and architecture requirements increase screening rigor.
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Own architectural decisions, reference blueprints, and target-state designs for data and AI solutions, balancing latency, cost, and scalability trade-offs.
Architect and optimize end-to-end medallion Lakehouse and ML deployment pipelines on Azure and Databricks at TB–PB scale.
Lead security/compliance enforcement, build CI/CD and MLOps pipelines, and coach cross-functional delivery teams aligning with data policy.
10–15 years of experience in data architecture, data engineering, or data science with demonstrated delivery of at least one enterprise Lakehouse and one production AI/ML solution.
Expertise in Python, PySpark, SQL, Databricks, Delta Lake, and Spark Structured Streaming.
Strong Azure stack experience including ADLS Gen2, ADF, Synapse, Azure ML, AKS, Event Hubs, and Key Vault.
Deep database expertise with PostgreSQL, Synapse, Snowflake, ADLS plus security and PII/GDPR data handling experience.
Experienced in designing and optimizing large-scale, end-to-end data lakehouse architectures and ML pipelines, able to arbitrate technical trade-offs.
Skilled in building secure, compliant, and observable production AI/ML solutions using Azure cloud services and DevOps practices.
Capable of coaching delivery teams and collaborating cross-functionally to align data strategy with business and compliance requirements.