Manager of Data Engineering & Automation leading automated, data - driven solutions for Finance at Adobe. Overseeing a team focusing on ETL, RPA, AI, and other technologies for operational excellence.
About the role
- Senior Data Engineer delivering scalable cloud-based data solutions for ASSA ABLOY. Collaborating with cross-functional teams to fulfill data & analytics strategy in a dynamic environment.
Responsibilities
- Architect and implement enterprise-grade, cloud-based data platforms using Azure and Microsoft Fabric.
- Design scalable data Lakehouse architectures leveraging Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and Microsoft Fabric (Lakehouse, Warehouse, Data Pipelines, Real-Time Analytics).
- Develop high-performance ETL/ELT pipelines using Azure Data Factory, Fabric Data Pipelines, SSIS, and PySpark.
- Implement distributed data processing solutions using Spark architecture and optimize Spark jobs for performance and cost efficiency.
- Lead cloud architecture design, including data ingestion patterns, medallion architecture (Bronze/Silver/Gold), governance frameworks, and CI/CD automation.
- Collaborate with cross-functional stakeholders to gather future-state requirements and translate business needs into technical solutions.
- Design and optimize complex SQL-based data models, star schemas, and enterprise semantic layers for analytics and reporting.
- Enable advanced analytics use cases using Python, R, machine learning frameworks, and Azure ML services.
- Support enterprise BI initiatives using Power BI, Fabric Semantic Models, and Power Automate.
- Participate in on-call rotations to support mission-critical production systems.
- Drive modernization initiatives from legacy MSBI environments to cloud-native and Fabric-based ecosystems On call rotation and availability outside of normal business hours to support a 24x7x365 environment
Requirements
- 10+ years of progressive IT experience with strong specialization in Data Engineering, Enterprise Data Warehousing, and Analytics platforms.
- 5+ years of deep, hands-on experience with Data Warehouse architecture, dimensional modeling, ETL/ELT frameworks, and enterprise BI solutions.
- Strong expertise in Microsoft BI stack including SQL Server, SSIS, and advanced T-SQL development and performance tuning.
- Advanced programming proficiency in SQL, Python, and PySpark with solid understanding of distributed computing and Spark architecture concepts (execution model, partitioning, optimization strategies).
- Proven experience building and optimizing cloud-native data solutions using: Azure Synapse Analytics Azure Data Factory Azure Data Lake Storage Azure Databricks Azure Logic Apps Microsoft Fabric (Lakehouse, Data Pipelines, Warehouse, Semantic Models)
- Strong experience designing scalable, secure, and cost-efficient cloud data architectures across hybrid and multi-source environments.
- Working knowledge of modern data platform patterns including lakehouse architecture, medallion layering, data governance, and CI/CD practices.
- Exposure to Data Science and advanced analytics technologies (Python, R, machine learning algorithms, Azure ML) preferred.
- Experience with Microsoft Power Platform tools including Power BI and Power Automate preferred.
- Strong analytical, problem-solving, and troubleshooting skills with the ability to navigate complex enterprise data landscapes.
- Self-driven professional with excellent communication skills and ability to collaborate across technical and business teams.
- Comfortable working in high-priority, time-sensitive environments with on-call support responsibilities.
- Bachelor’s or Masters degree in Computer Science, Data Science, Information Systems, Engineering, or related field (or equivalent practical experience).
Benefits
- Continuous professional development opportunities and an environment that fosters internal growth and mobility.
- Competitive compensation and benefits package which includes multiple healthcare options, tuition reimbursement, and matching 401k.
- Generous holiday schedule and paid time off to refresh and recharge.
- Employee pricing on our products and discount programs for travel, entertainment, and more!
Job title
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