Principal Consultant A2- Data & AI
INR 2500K-4000K (estimate) Senior-level Full Time
Tasks
- Build and maintain client relationships
- Champion secure coding test driven development observability and performance practices
- Collaborate to define delivery strategies plans milestones and risk mitigation
- Conduct design reviews and ensure secure compliant reliable delivery
- Define and track Business KPIs for AI initiatives
- Deliver modern data platform architecture and performance outcomes
- Design agentic AI workflows for data discovery and preparation
- Design and implement real time analytics platforms
- Design and operate batch and streaming data pipelines
- Design governed trusted analytics and AI ready data architectures
- Drive adoption of Agile, DevOps, and CI/CD
- Drive engineering excellence using reusable components and accelerators
- Embed AI-first principles into delivery workflows
- Ensure compliance and quality gates
- Ensure scalable, robust solutions
- Implement DataOps practices for monitoring alerting and optimization
- Implement and tune event streams and real time dashboards
- Lead and mentor cross-functional teams
- Lead database performance assessments capacity planning and workload sizing
- Lead end-to-end delivery of complex projects
- Lead enterprise data modernization and target state design
- Lead innovation in delivery models reusable assets and accelerators
- Monitor emerging technologies for strategic direction
- Oversee technical execution across multiple projects
- Perform query tuning execution plan analysis indexing and storage optimization
- Step into at risk projects to assess and recover
- Support pre sales with estimations proof of concepts and proposals
- Translate business requirements into scalable technical solutions
- Unify real time and historical datasets for analytics and AI consumption
- Use design thinking for user centric solutions
- Use large language models for data engineering automation and optimization
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Apache Kafka | Apache Spark | Artificial Intelligence | Azure Data | Azure Data Factory | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | Capacity Planning | Cosmos DB | Data Architecture | Data Engineering | Data Factory | Data Modeling | Data Warehousing | DataOps | Database Performance Optimization | Database performance | Databricks | DevOps | Enterprise Data | Enterprise Data Modeling | Event Streams | Execution Plan | Execution Plan Analysis | HDInsight | Hadoop | Hive | Indexing | KQL | LLM | Language Models | Large Language Models | MariaDB | Microsoft Fabric | Microsoft Purview | MySQL | Netezza | Observability | OneLake | Oracle | Performance Tuning | Performance optimization | Plan analysis | PostgreSQL | Query Tuning | Real Time | Real-time analytics | Real-time intelligence | SQL Server | Secure Coding | Snowflake | Synapse Analytics | Teradata | Test-Driven | Test-Driven Development | Time intelligence | Warehouse Lakehouse
Education
N/A
Roles
Architect | Consultant | Data Architect | Data Engineering | Data Engineering Lead | Engineering Lead | Lead | Principal | Principal Consultant
Regions
Countries
States
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