Baker McKenzie
From Baker McKenzie's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Administer, operate, and continuously improve the organization’s enterprise data platform.
Lead the implementation and ongoing administration of the data platform using Microsoft Fabric and Microsoft Azure.
Manage platform configuration, access, security, capacity, availability, performance, and cost optimization.
Oversee Microsoft Fabric capabilities, including OneLake, Data Factory, Data Engineering, Data Warehouse, Real-Time Intelligence, and Power BI.
Establish and maintain platform standards, governance controls, operating procedures, and recommended practices.
Oversee data ingestion, integration, transformation, and orchestration capabilities supporting reporting, analytics, AI, and business decision-making.
Manage platform monitoring, workload optimization, performance tuning, incident resolution, and operational support.
Lead DevOps and CI/CD practices for platform configuration, development, testing, deployment, and release management.
Collaborate with data architects, data engineers, product owners, data governance teams, and other technology stakeholders to deliver scalable data solutions.
Ensure compliance with enterprise data security, privacy, regulatory, and governance requirements.
Evaluate and implement new Microsoft Fabric and Azure features to support evolving organizational requirements.
Manage platform capacity planning and support the financial governance of cloud-based data services.
Provide technical leadership and guidance to data engineers, platform engineers, database administrators, and other solution teams.
Manage vendor relationships and coordinate technical support when required.
Participate in an on-call rotation to support the platform and respond to operational incidents.
Drive continuous improvement and operational excellence across the enterprise data platform.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related discipline.
At least seven years of experience working with enterprise data platforms, cloud data architectures, data warehousing, data integration, or analytics solutions.
At least four years of experience administering or managing modern cloud-based data platforms.
Demonstrated hands-on experience administering a major SaaS or cloud data platform, such as Databricks, Snowflake, or Amazon Redshift.
Strong experience managing platform configuration, security, access, capacity, availability, monitoring, and performance.
Strong understanding of modern data platform architecture, data warehousing, data lakes, and enterprise data integration.
Experience supporting enterprise-scale data modernization, implementation, or migration initiatives.
Strong knowledge of data governance, data quality, data security, privacy, and access-management principles.
Advanced SQL skills and experience with data transformation, troubleshooting, performance tuning, and optimization.
Knowledge of DevOps, CI/CD, Infrastructure as Code, automated deployments, and release-management practices.
Experience managing operational incidents and resolving complex platform issues.
Strong analytical, troubleshooting, and problem-solving capabilities.
Ability to translate technical platform requirements into operational plans and scalable solutions.
Excellent communication and stakeholder-management skills.
Ability to collaborate across technical teams and operate effectively within a global organization.
Willingness to participate in an on-call rotation and attend occasional meetings outside standard local working hours.
Hands-on experience administering Microsoft Fabric.
Experience working with Microsoft Azure and Azure Data Services.
Experience with Power BI, Microsoft Purview, Azure AI, or related Microsoft data technologies.
Previous people-management or team-leadership experience.
Experience supporting AI, machine learning, or generative AI data workloads.
Familiarity with data mesh, data products, enterprise architecture, and modern data-management frameworks.
Knowledge of FinOps and cloud cost-optimization practices.
Relevant Microsoft certifications, such as Microsoft Fabric Analytics Engineer Associate, Azure Data Engineer Associate, or Azure Solutions Architect Expert.
Baker McKenzie empowers clients to compete in the global economy. We provide comprehensive and practical legal advice that cuts through complexity with clear, actionable guidance. Our people represent diverse cultures and jurisdictions, combining local know-how with international expertise to ensure your business thrives across borders.
Baker McKenzie is an Equal Opportunity Employer. We are committed to promoting diversity and inclusion for all. Our unique international culture is reflected in the drawing together of a worldwide family of individuals from diverse cultures and backgrounds in all of our offices. We encourage the best people - regardless of race, religion or belief if any, gender, gender identity, disability, sexual orientation or age - to fulfill their professional aspirations with us. We are committed to ensuring an inclusive and accessible experience for all candidates.
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in