Senior Data Engineer

Job Responsibility: With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers' expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft's portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world. The CE&S Business Intelligence (BI) Team is responsible for delivering data-driven decision-making and self-serve analytics to optimize customer experience and support operations across Microsoft's assisted and self-service support surfaces. We build and manage data platforms and data flows, oversee data and measurement governance, develop Machine Learning (ML) models, manage support-critical data tools, and provide both core and business-specific analytics resources and guidance. We are looking for a Senior Data Engineer who is passionate about delivering customer centered data solutions and innovating. You will need to be adept at managing business change, evolving requirements, adjustments in a strategic direction, and emerging technologies. You will need to be agile and flexible, yet proficient and disciplined. This is an amazing opportunity to be at the center of building a showcase worthy data capability, the successful candidates should have proven experience in program management, solid understanding of both business and engineering priorities, analytical, financial, organizational and communication skills. A passion for operational excellence, learning and mental agility will be valuable. This role is flexible in that you can work up to 100% from home. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Architect, analyze, build, and engineer data solutions under the scope of the CE&S BI Team.
• Build data models and flows for data functions and transformations.
• Innovate/Optimize conceptual, logical, and physical data model and design.
• Be a Voice of Customer to share insights and best practices, and connect with Engineering team to remove key blockers
• Collaborate with architecture, compliance, and peer engineers to contribute and support the design and sustainment of the CE&S BI data architecture and engineering standards.
• Manage the availability, usability, integrity, quality and security of the data.
• Monitor and implement self-healing processes to maintain data quality and optimal performance throughout the data lifecycle.
• Land governance procedures for data integrity.
• Work together with cross-functional teams to identify and address data-related issues and support data infrastructure needs.
• Embody our culture and values.

Qualifications

Required Qualifications:

• Bachelor's degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years' experience in business analytics, data science, software development, data modeling or data engineering work
  • OR Master's Degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years' experience in business analytics, data science, software development, or data engineering work
  • OR equivalent experience.
• 3+ years of data architecting and delivering large complex solutions to enterprise customers.
• 3+ years of experience in large-scale Data Platform and deployment projects.
• Advanced working knowledge and hands-on experience in any of the following technologies: Spark SQL, PySpark in Azure Databricks, SQL on Azure SQL DBs and OnPrem SQL server, Azure Data Lake Storage, and Azure Data Factory, Fabric, Azure Synapse.

Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years' experience in business analytics, data science, software development, data modeling or data engineering work
  • OR Master's Degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years' experience in business analytics, data science, software development, data modeling or data engineering work.
• Working knowledge with Application Programming Interface (API).
• Advanced Analytics (prefer Azure Data Bricks, data visualization tools such as Power BI).
• Knowledge of PowerApps development and power automate flows.
• Previous experience in a data governance, MDM and taxonomy design environment and has implemented technological solutions tied to such programs.

Data Engineering IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year. Find additional pay information here: Canada pay information | Microsoft Careers Microsoft will accept applications for the role until June 9, 2025. Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.