Analytics Lead Architect

at  Valmet Inc

Are you passionate about leading data architecture in a cutting-edge Microsoft Fabric environment? Join Valmet’s Data and Insights Team as a Lead Data Architect, where you will drive the design, implementation, and optimization of our data architecture, supporting our strategic objectives and enhancing analytics excellence across the organization.

Your key responsibilities:

• Data Architecture Leadership: Lead the design and implementation of robust data architectures in a Microsoft Fabric environment, ensuring alignment with business and IT strategies.
• Provide leadership and guidance to domain architects, fostering collaboration and ensuring consistency in data architecture practices across different domains.
• Data Governance: Develop and enforce data governance policies and procedures to ensure data integrity, security, and compliance with regulatory requirements.
• Data Environment Management: Collaborate the administration and maintenance of our Data Lake infrastructure, including configuration, monitoring, troubleshooting, and optimization to ensure smooth operations.
• Performance Optimization: Identify and implement performance optimization strategies to enhance the efficiency and scalability of the Data Lake platform, including tuning queries, optimizing data pipelines, and managing storage resources.
• Documentation and Knowledge Sharing: Maintain comprehensive documentation of Data Lake configurations, processes, and best practices, and facilitate knowledge sharing with the broader team.
• Monitor and manage data quality, ensuring consistent and reliable data across the organization.
• Strategic Road mapping: Develop and execute a multiyear roadmap for Data Lake operations, aligning with business and IT strategies to support key organizational initiatives.
• Continuous Improvement: Drive continuous improvement processes within the Data Lake environment, fostering a culture of innovation and excellence.

Requirements:

• Bachelor’s degree or higher in information technology, engineering, or a relevant field.
• Proven experience in administering and managing Microsoft Data Lakehouse or similar big data platforms.
• Proficiency in Microsoft Azure services, including Azure Data Lake Storage, Azure Data Factory, Azure Databricks, and related technologies.
• Strong understanding of data governance, security, and compliance principles, with experience implementing them in a Microsoft Data Lake environment.
• Strong understanding of data management concepts, including data governance, data security, and data quality.
• Knowledge of data integration tools and techniques for ingesting and processing data from diverse sources.
• Strategic mindset with a proven track record of influencing and aligning stakeholders to achieve complex goals.
• Strong project management skills, with the ability to prioritize tasks and manage timelines effectively.
• Excellent communication and interpersonal skills to facilitate effective collaboration with diverse teams.

Preferred experience:

• Experience with SQL querying and scripting languages (e.g., T-SQL, PowerShell) for data manipulation and automation.
• Experience with business intelligence tools (Tableau, Power BI).
• Experience with real-time analytics and IoT data integration

What we Offer:
Join a pioneering team at the forefront of innovation in analytics technology. As one of the first adopters of Microsoft Fabric technology worldwide, you’ll have the unique opportunity to work with cutting-edge tools and platforms, shaping the future of analytics within our organization and beyond. Experience firsthand the power of this revolutionary technology as you collaborate with a dynamic and forward-thinking team to drive actionable insights and unlock new possibilities for our business. If you’re ready to be part of a transformative journey and make your mark in the world of analytics, apply now to join us as a Lead Data Architect.
Enjoy comprehensive benefits, cutting-edge tools, and continuous learning opportunities. Achieve a healthy work-life balance with flexible hours and remote options. Join us for a career where your skills thrive and your well-being matters.
Additional information
For more information about the position please contact Manager, Data Lake & Insights Henri Vuorenpää,
henri.vuorenpaa@valmet.com
+358442512189 preferably on Thursday October 17th at 1pm-2pm or Friday October 25th at 1pm-2pm.
If this sounds like the right opportunity for you, send your application with your CV via the link provided as soon as possible but the latest on October 31st. We review applications during the application period, and the position will be filled as soon as a suitable candidate is found.
We encourage our employees to a healthier lifestyle by being a non-smoking workplace.
When everything works together
Valmet is where the best talent from a wide variety of backgrounds comes together. With over 19,000 professionals around the world, we are the leading global developer and supplier of technologies, automation and services for the pulp, paper and energy industries, and serve an even wider base of process industries with our automation systems and flow control solutions. Our commitment to moving our customers’ performance forward requires creativity, technological innovations, service know-how – and above all, teamwork.
Join the team! www.valmet.com/career

• Data Architecture Leadership: Lead the design and implementation of robust data architectures in a Microsoft Fabric environment, ensuring alignment with business and IT strategies.
• Provide leadership and guidance to domain architects, fostering collaboration and ensuring consistency in data architecture practices across different domains.
• Data Governance: Develop and enforce data governance policies and procedures to ensure data integrity, security, and compliance with regulatory requirements.
• Data Environment Management: Collaborate the administration and maintenance of our Data Lake infrastructure, including configuration, monitoring, troubleshooting, and optimization to ensure smooth operations.
• Performance Optimization: Identify and implement performance optimization strategies to enhance the efficiency and scalability of the Data Lake platform, including tuning queries, optimizing data pipelines, and managing storage resources.
• Documentation and Knowledge Sharing: Maintain comprehensive documentation of Data Lake configurations, processes, and best practices, and facilitate knowledge sharing with the broader team.
• Monitor and manage data quality, ensuring consistent and reliable data across the organization.
• Strategic Road mapping: Develop and execute a multiyear roadmap for Data Lake operations, aligning with business and IT strategies to support key organizational initiatives.
• Continuous Improvement: Drive continuous improvement processes within the Data Lake environment, fostering a culture of innovation and excellence