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Principal Consultant - Data & AI
Microsoft
India, Telangana, Hyderabad; India, Karnataka, Bangalore; India, Uttar Pradesh, Noida
≈ 203,1 тыс.–325 тыс. ₽ · 2,6 тыс.–4,1 тыс. $ · 2,3 тыс.–3,6 тыс. €
250 000 – 400 000 INR
🏢 Офис
Senior
Полная занятость
Продуктовая
Tech
Описание вакансии
Обязанности
•Apply design thinking to user centric solutions
•Assess and tune pipeline performance
•Assess at risk projects and establish recovery plan
•Build and operate batch and streaming pipelines
•Champion secure coding and quality standards
•Define and track Business KPIs for AI initiatives
•Define engineering guardrails with test driven development
•Deliver modern data platform architectures
•Design data governance with metadata lineage and classification
•Design indexing and storage I O optimization
•Drive adoption of Agile, DevOps, CI/CD
•Drive engineering excellence with reusable components
•Embed AI-first principles into delivery workflows
•Engage clients for business needs and solutioning
•Ensure scalable robust delivery aligned to business outcomes
•Ensure secure compliant reliable solution delivery
•Execute database performance assessments and capacity planning
•Implement DataOps monitoring alerting and optimization
•Implement observability and performance best practices
•Implement real time analytics platforms
•Lead and mentor cross-functional teams
•Lead end-to-end delivery of complex projects
•Lead enterprise data modernization initiatives
•Lead innovation in delivery models and accelerators
•Monitor emerging technologies for strategic direction
•Oversee technical execution across multiple projects
•Perform query tuning and execution plan analysis
•Plan compute sizing partitioning and concurrency
•Support pre sales with estimates proof of concept and proposals
•Translate business requirements into scalable technical solutions
Технологии: Agile, Apache Spark, Azure, Azure Data, Azure Data Factory, Azure SQL, Azure SQL Database, Azure Synapse, Azure Synapse Analytics, CI/CD, Capacity Planning, Cosmos DB, Data Factory, DataOps, Databricks, DevOps, Event Hubs, HDInsight, Hadoop, Hive, Kafka, MariaDB, Microsoft Fabric, Microsoft Purview, MySQL, Observability, Oracle, Performance Tuning, PostgreSQL, Real Time, Real-time intelligence, SQL, SQL Database, SQL Server, Scrum, Secure Coding, Snowflake, Synapse Analytics, Teradata, Test-Driven, Test-Driven Development, Time intelligence