Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies.
Contributes to the overall efficacy and quality of a project team’s technical delivery within assigned engagements.
Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations.
Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies. Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services.
Align with innovation and digital transformation initiatives. Ensures the use of existing intellectual property (IP) and delivers value to customers.
Responsible for implementing the technology strategy with support from Senior peers
Applies information-compliance and assurance policies to ensure stakeholder confidence.
Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.
Consistently upskills through regular trainings and certifications on Azure Data and AI to be able to contribute to the future needs of the organization and customers
Qualifications
10+ years of experience
Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred.
Knowledge of solution design, planning, development and deployment of complex solutions
One or more of the following certifications, or an equivalent industry certification is a plus: Microsoft Certified: Azure Data Engineer Associate (DP-600) / Microsoft Certified: Azure AI Engineer Associate (AI102) / Microsoft Certified: Azure Solution Architect Expert (AZ-305)
Core Data Engineering & Platform Skills
Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments
Strong foundational experience with Azure Data Services and data platform modernization initiatives
Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics; Azure Databricks is a plus
Experience/knowledge of one or more SQL and NoSQL database systems
Hands-on experience building AI-powered data pipelines using ETL/ELT tools like:
Azure Data Factory (ADF), SSIS, Talend, Informatica, Airflow
Exposure to data migrations, platform upgrades, and modernization efforts
Understanding of multitenant data platform designs, basic security hardening, and access control concepts
Knowledge of Big Data ecosystems like Spark, Databricks, Kafka, Hadoop, etc.
AI / ML Foundations
Experience building or supporting ML ready datasets and basic feature engineering
Exposure to operationalizing ML pipelines and MLOps concepts, on Azure stack
Foundational knowledge of
Large Language Models (LLMs)
Model training, evaluation, and deployment workflows
Azure cloud and AI stack like Azure Foundry, Azure OpenAI, etc
Handson experience or knowledge in one or more of
NLP, Document Intelligence & Indexing
Computer Vision
RAG frameworks or AI Search
Basic understanding of Prompt Engineering
Exposure to or knowledge of deep learning/Gen AI frameworks such as TensorFlow/PyTorch, and orchestration frameworks like LangChain/LangGraph
Familiarity with Responsible AI principles – fairness, interpretability, and governance
Engineering Practices & Delivery
Experience working in Agile teams with knowledge of/exposure to Azure DevOps
Understanding of DataOps and MLOps practices, automated testing, CI/CD pipelines, and deployment workflows, preferably on Azure Foundry
Knowledge of secure coding practices, observability basics, and performance considerations
Handson programming experience, preferably in Python
Consulting Mindset & Collaboration
Ability to work closely with senior consultants, architects, and customers to co-create innovative solutions with customers to help solve their business challenges
Strong communication skills to explain technical concepts to business stakeholders
Comfortable working in ambiguous environments, learning quickly, and adapting to change
Eagerness to build engineering excellence, reusable components, and best practices
Growth & Learning Orientation
Strong interest in continuous learning and technical certifications
Curiosity to explore emerging data and AI technologies
Willingness to receive feedback, grow technical depth, and expand ownership over time
Data Architecture Foundations (Good to have)
Good understanding of core data architecture patterns
Dimensional modeling
Lambda and Kappa architectures
Timeseries data processing
Familiarity with Azure Stream Analytics and Azure Analysis Services
Awareness of data governance concepts and tools (opensource or proprietary)
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
