Principal Technology Consultant - Data&AI (A2)

Principal Technology Consultant - Data&AI (A2) | Microsoft Careers

• Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable.
• Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes.
• Drive engineering excellence through reusable components, accelerators, and scalable architecture.
• Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements.
• Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches.
• Act as a technical point of contact for clients, translating business requirements into scalable technical solutions.
• Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes.
• Champion high-quality engineering practices across all delivery engagements.
• Ensure adherence to coding standards, architectural integrity, and performance benchmarks.
• Promote secure coding, test-driven development, and observability as default practices.
• Encourage continuous learning and technical certifications to maintain cutting-edge expertise.
• Drive adoption of modern delivery methodologies (Agile, DevOps, CI/CD) to ensure robust and scalable solutions.
• Foster a culture of technical rigor, innovation, and accountability within the team.
• Monitor and evaluate emerging technologies to inform strategic direction.
• Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency and impact.
• Champion modern thinking and best practices across teams and engagements to foster a culture of continuous improvement.
• Engage with clients to understand business needs and provide expert guidance throughout the project lifecycle.
• Support pre-sales and solutioning efforts with estimations, proof-of-concepts, and technical proposals.
• Build and maintain strong client relationships, ensuring high levels of satisfaction and value delivery.
• Lead and mentor cross-functional teams, fostering a culture of learning, collaboration, and technical excellence.
• Conduct reviews, provide feedback, and support professional development of team members.
• Ensure all deliverables meet quality standards, security, and regulatory requirements.
• Promote secure coding, test-driven development, and observability as default practices.
• Serve as a strategic partner for internal and external stakeholders on key initiatives.
• Provide strategic guidance and execution oversight to ensure alignment with organizational goals.

• 20+ years of Data Engineering experience and Strong Experience in driving Enterprise Data Architecture, Azure Data services, Machine learning Offerings, Platform Modernizations.
• Over 10 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata
• Strong Experience in large database solutions, on premises, cloud, and hybrid implementations
• Strong experience in Serverless Architecture/Microservices
• Strong experience of full application life cycle design tools and methodologies
• Strong experience in one or more technologies under each of the following
• Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight.
• Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture,
• Columnar (RedShift, Vertica)
• OSS (MySQL, PostgreSQL and MariaDB)
• CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores)
• Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations.
• Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data
• Azure Stream Analytics, Azure Analysis Service
• Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica.
• Drive multi-tenant database designs, security hardening of the data platform.
• Expertise in implementation of Data governance practices using either open source or proprietary tools.
• Expertise in Data Ops
• Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible.
• Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain.
• Strong experience in AI/ML: Expertise in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps).
• Expertise in Azure ML and Open AI.
• Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search
• Good understanding of Prompt Engineering Basics.
• Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes.
• Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models.
• Nice to have Skills: Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling.
• Multi-cloud experience a plus - Azure, AWS, Google

• Flexible work arrangements
• Discounts on products and services
• Generous time away
• Giving programs
• Opportunities to network and connect

Microsoft Industry Solution - Global Delivery Center (GDC) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies.