Principal Software Engineering Manager- Data
- Rithusa Consultancy
- 12 to 16 Yrs
- Noida, Gurugram
- 5 months ago
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Job Description
- Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group Customer Experience (CXP) and work on something highly strategic to Microsoft. The goal of CXP Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organizations implementation acts as reference architecture for large companies and helps drive product capabilities. If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, please come and talk to us! We are hiring a passionate Principal SW Engineering Manager to lead a team of highly motivated and talented software developers building highly scalable data platforms and deliver services and experiences for empowering Microsofts customer, seller and partner ecosystem to be successful. This is a unique opportunity to use your leadership skills and experience in building core technologies that will directly affect the future of Microsoft on the cloud. In this position, you will be part of a fun-loving, diverse team that seeks challenges, loves learning and values teamwork. You will collaborate with team members and partners to build high-quality and innovative data platforms with full stack data solutions using latest technologies in a dynamic and agile environment and have opportunities to anticipate future technical needs of the team and provide technical leadership to keep raising the bar for our competition. We use industry-standard technology: C#, JavaScript/Typescript, HTML5, ETL/ELT, Data warehousing, and/ or Business Intelligence Development. Responsibilities As a leader of the engineering team, you will be responsible for the following: - Build and lead a world class data engineering team. - Passionate about technology and obsessed about customer needs. - Champion data-driven decisions for features identification, prioritization and delivery. - Managing multiple projects, including timelines, customer interaction, feature tradeoffs, etc. - Delivering on an ambitious product and services roadmap, including building new services on top of vast amount data collected by our batch and near real time data engines. - Design and architect internet scale and reliable services. - Leveraging machine learning (ML) models knowledge to select appropriate solutions for business objectives. - Communicate effectively and build relationship with our partner teams and stakeholders. - Help shape our long-term architecture and technology choices across the full client and services stack. - Understand the talent needs of the team and help recruit new talent. - Mentoring and growing other engineers to bring in efficiency and better productivity. - Experiment with and recommend new technologies that simplify or improve the tech stack. - Work to help build an inclusive working environment. Qualifications Basic Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. - 12+ years of experience of building high scale enterprise Business Intelligence and data engineering solutions. - 3+ years of management experience leading a high-performance engineering team. - Proficient in designing and developing distributed systems on cloud platform. - Must be able to plan work, and work to a plan adapting as necessary in a rapidly evolving environment. - Experience using a variety of data stores, including data ETL/ELT, warehouses, RDBMS, in-memory caches, and document Databases. - Experience using ML, anomaly detection, predictive analysis, exploratory data analysis. - A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture. - Strong communication skills and proficiency with executive communications - Demonstrated ability to effectively lead and operate in cross-functional global organization Preferred Qualifications - Prior experience as an engineering site leader is a strong plus. - Proven success in recruiting and scaling engineering organizations effectively. - Demonstrated ability to provide technical leadership to teams, with experience managing large-scale data engineering projects. - Hands-on experience working with large data sets using tools such as SQL, Databricks, PySparkSQL, Synapse, Azure Data Factory, or similar technologies. - Expertise in one or more of the following areas: AI and Machine Learning. - Experience with Business Intelligence or data visualization tools, particularly Power BI, is highly beneficial,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Principal Software Engineering Manager- DataContact Details:
Company: MicrosoftLocation(s): Noida, Gurugram+ View Contact
Keyskills: C JavaScript HTML5 Data warehousing Machine Learning Anomaly Detection Exploratory Data Analysis SQL Power BI Typescript Azure Data Factory
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