Data Engineer II

Microsoft•Washington, DC

13d•$100,600 - $199,000

About The Position

Microsoft Cloud Operations and Innovation (CO+I) is the team behind the cloud. Within CO+I, the Integrated Planning and Execution (IPE) team drives the early-stage planning and acquisition functions that will enable the cloud of tomorrow. We are seeking a Data Engineer II that will oversee the long-term strategy as well as the day-to-day operations of the Azure SQL Database architecture with multi-region replication and failover support. In addition, this role will also require data engineering skills in Azure Data Factory and Fabric, to build and support the development of data and reporting solutions for the people who are powering the cloud. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Requirements

Bachelor's Degree in Computer Science, Engineering, Supply Chain, or related field AND 3+ years experience in technical program/product management, coding, software development/delivery work OR equivalent experience.
2+ years of customer-facing experience.
Background Check 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.
Citizenship & Citizenship Verification: This position requires verification of citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local [or applicable country] government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport.

Nice To Haves

Bachelor's Degree in Computer Science, Engineering, Supply Chain, or related field AND 5+ years experience in technical program/product management, coding, software development/delivery work or internship experience OR equivalent experience.
3+ years of customer-facing experience.

Responsibilities

oversee the Azure SQL Server architecture that supports business intelligence solutions.
building data engineering solutions that support planning executives, analysts and program managers along with business decision making across all aspects of the planning functions within the IPE organization.
Azure SQL Database Administrator, performance tuning and indexing, replication and failover support.
Be a very experienced SQL developer, in areas such as indexing, partitioning and procedure development.
Build and maintain Azure Data Factory pipelines to in a business-production environment.
Build and maintain success/failure pipeline monitoring through Logic Apps, Azure alerts, and Azure Incident and Change Management (ICM).
Be familiar with Azure Data Lake Storage (ADLS) Gen2.Build and maintain Fabric dataflows and other ingestion pipelines through that platform.
Perform on-call and backup on-call duties, rotating with the team on a regular basis, working incidents during this time.
Work closely with the Business Intelligence team, program managers and stakeholders to gather detailed requirements, prioritize Azure DevOps (ADO) work items, and drive design.
Collaborate with the Access Control team to ensure compliance and data security.
Collaborate with multiple engineering teams when building ingestion pipelines.
Drive continuous improvement through good documentation, adherence to agile methodology, and commitment to measuring success.
Remain current and up to date on technologies supporting AI through Copilot, proactively participating in efforts to document and promote best practices.
Embody our culture and values