Director – Microsoft Fabric & Data Platform

Position Summary

We are looking for a Director – Microsoft Fabric & Data Platform with 15+ years of experience to lead the strategy, engineering, and productionization of an enterprise Microsoft Fabric platform.

The individual will lead a team of approximately 10 data and platform engineers and will be accountable for both platform strategy and execution. The ideal candidate combines deep Microsoft Fabric expertise, strong platform engineering experience, people leadership, and a proven track record of operating enterprise-scale data platforms.

Key Responsibilities

● Own the Microsoft Fabric platform strategy, roadmap, architecture, and operating model.

● Lead and manage a team of approximately 10 data and platform engineers, including delivery, mentoring, performance management, and technical oversight.

● Define enterprise standards for Fabric workspaces, OneLake, Lakehouse, Warehouse, Data Factory, Spark, semantic models, security, and capacity management.

● Lead the design and productionization of scalable data pipelines and Bronze/Silver/Gold architectures.

● Establish production-grade standards for data quality, monitoring, lineage, resiliency, performance, and support.

● Define and implement CI/CD, Git integration, environment promotion, and DevOps practices for Fabric.

● Drive platform governance, security, automation, capacity optimization, and integration with

the broader Azure ecosystem.

● Develop reusable platform capabilities and engineering standards that can scale across

multiple teams and use cases.

● Partner with architecture, security, governance, analytics, AI, and business teams to align the

platform with enterprise priorities.

● Provide senior technical leadership and resolve complex platform, architecture, and

production issues.

Job Requirements

Minimum Qualifications:

● 15+ years of experience across data platforms, data engineering, cloud platforms, analytics,

or related technology roles.

● Proven experience leading data engineering or platform teams of 8–15+ people.

● Strong experience defining enterprise platform strategy, target-state architecture, roadmaps,

and operating models.

● Deep hands-on expertise in Microsoft Fabric, including OneLake, Lakehouse, Warehouse,

Data Factory, Spark, SQL, Python/PySpark, and Power BI/Semantic Models.

● Strong experience building and productionizing enterprise-scale data platforms and

pipelines.

● Strong knowledge of Azure DevOps, CI/CD, security, identity, networking, monitoring, and

governance.

● Experience with capacity planning, performance optimization, platform reliability, production

support, and cost management.

● Demonstrated ability to operate as both a senior technology leader and technically credible

platform expert.

● Strong stakeholder-management skills with the ability to influence architecture, engineering,

and technology leadership.

Preferred Qualifications:

● Experience in Asset Management, Wealth Management, Banking, Insurance, or broader

Financial Services.

● Familiarity with investment or financial-services data domains such as portfolios,

securities, transactions, market data, performance, AUM, clients, or funds.

● Microsoft Fabric certifications.

● Experience with Microsoft Purview and enterprise data governance.

● Experience migrating from Synapse, Databricks, or traditional data platforms to Fabric.

● Experience enabling analytics, AI/GenAI, and enterprise reporting use cases.

Why straive:

Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.