Senior Data Engineer - New Haven, CT

We are looking for a Senior Data Engineer to join our growing IT team If you would like to be part of a dynamic, global organization that offers continuous growth and mobility, read on to learn more and apply today · What you will be doing · The Senior Data Engineer is a core mem ...

Job description

We are looking for a Senior Data Engineer to join our growing IT team If you would like to be part of a dynamic, global organization that offers continuous growth and mobility, read on to learn more and apply today

What you will be doing

The Senior Data Engineer is a core member of the Data & Analytics team. This role will be responsible for delivering high-performing, scalable, flexible, and cost-effective cloud-based enterprise business data and analytics solutions.

To be successful in the position, you must have a great attitude as well as strong business analysis and technical development. The Data Engineer will engage in gathering future requirements and work with cross functional teams. This position plays a key role in fulfilling the future modern data & analytics strategy for ASSA ABLOY Americas Division. This is an on-stie role based in New Haven, Connecticut.

Key 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

What we are looking for

• 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).
• Up to 25% travel based on project requirements

What we offer

We're passionate about providing amazing opportunities and benefits, so that you can enjoy a lifelong career with us. We are proud to offer:

• 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

We review applications regularly, so don't hesitate, apply today

ASSA ABLOY is an Equal Opportunity Employer/Minorities/Females/Disabled/Veteran

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We are the ASSA ABLOY Group

Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access.

As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.

As we welcome new people on board, it's important to us to have diverse, inclusive teams, and we value different perspectives and experiences.