At Crestron Electronics, Inc we build the technology that integrates technology.

We are proud to be the largest and most recognized brand in automation and control solutions, and the premier technology partner for fortune 500 businesses globally. Our products’ are integrated into new high-tech commercial buildings’ to include some of the most exciting real estate throughout the world. Our clients include Google, Microsoft, Amazon, LinkedIn and many others. We are the leaders in the most exciting industry in the world!
Our automation and control solutions for homes and buildings allow our clients to control entire environments with the push of a button, integrating systems such as Audio Visual, Lighting, Shading, Security, Building Management Systems and HVAC to provide greater comfort, convenience and security.

Summary
A Senior Data Engineer at Crestron plays a key role in designing, building, and optimizing data pipelines and architectures that power critical business decisions. In this role, you will lead the development of scalable data solutions, collaborate closely with developers, BRMs, analysts, and cross-functional teams, and drive best practices in data engineering and infrastructure.
The ideal candidate has a deep understanding of modern data technologies, a strong background in software engineering, and a passion for turning raw data into actionable insights. You will have the opportunity to work with large-scale datasets, cloud-based platforms, and cutting-edge tools to help shape the future of data at our organization.
Responsibilities

Design, develop, and maintain scalable and reliable data pipelines using Azure Data Factory, Azure Synapse, Databricks, and related services.
Build and optimize ETL workflows to ingest, transform, and deliver data across multiple environments and applications.
Implement best practices for data quality, governance, and security within Azure cloud environments.
Manage and optimize data workflows and storage solutions in Azure, including Azure Data Lake, Azure SQL Database, and Azure Blob Storage.
Work within Azure DevOps for code management, CI/CD pipelines, release automation, and infrastructure as code (IaC) using tools like ARM templates.
Develop and support integrations between Azure data services and SAP systems(SAP ECC, BW, CRM), ensuring accurate and timely data exchange.
Collaborate with SAP functional and technical teams to support data extraction, transformation, and loading.
Lead the development and maintenance of ETL processes using tools such as Bryteflow, SAP PI/PO, or custom-built frameworks.
Monitor and tune ETL jobs for performance, reliability, and scalability.
Act as Scrum Master for the data engineering team: plan and lead daily stand-ups, sprint planning, retrospectives, and reviews.
Create Change Requests (CHGs) and as Change Owners, ensure they are submitted for approval in accordance with the Change Management Policy.
Manage and resolve data-related incidents and service requests using ServiceNow.
Maintain SLAs, perform root cause analysis, and document resolution procedures.
Implement data security and privacy policies
Create and implement strategies and plans to ensure user adoption and proficiency of all enterprise data solutions, as well as to minimize overall risk.
Ensure project management techniques are used for all solutions and critical issue resolution including communications plan, training plan, impact assessment plans.

Qualifications

Bachelor’s degree in computer science or equivalent experience.
5-7 years of experience architecting enterprise data solutions
Inclusive of Data Warehouse fact and dimensional modeling concepts
Architecting data solutions for simplicity, massive scale, resiliency, and maintainability
Experience with ETL/ELT on transactional systems, such as SAP ECC, SAP S4/HANA and Salesforce
Proficiency in Azure Synapse, Visual Studio, Azure DevOps, CI/CD, Pipelines, Azure Data Factory, Python, Databricks, SQL
Experience with data tools such as Power BI and Purview
Expertise with cloud automation tooling such as ARM Templates
Experience with distributed (multi-tiered) systems and databases
Experience/knowledge of cloud computing, enterprise computing, PaaS, IaaS and/or SaaS products
Experience in technical leadership in driving engineering roadmaps, mentoring, and helping others grow technically.
Experience taking a leading role in building a complex data modeling system.
Knowledge of functional areas, such as, order to cash, plan to produce, etc. is plus.

Per applicable state requirements, the annual pay range for this position ($111,000 - $159,000) which consists of base salary (subject to performance), reflects the hiring range for candidates. Also note, an individual’s offer may vary from this range as it may be impacted by additional factors, including but not limited to the candidate's hiring location, qualifications, experience, and market factors.

Crestron Electronics offers a competitive total compensation package including Medical, Dental, Vision, Life Insurance, Short Term Disability, 401K with company match, Paid Time Off, Holidays, On-site Amenities at NJ Headquarters & TX Facilities, Crestron Market Cafes, and Fitness Centers.

At Crestron Electronics, Diversity, Equity, and Inclusion drive innovation. Crestron’s success hinges on continuing to build a workforce of unique individuals whose passion inspires us to create and revolutionize industry-leading products and services. There will always be more to accomplish, and at Crestron, we believe the best way forward is together.

EOE/M/F/D/V

No Solicitation* Any agency submittal to any employee of Crestron Electronics, Inc by any method of communication will be deemed the sole property of Crestron Electronics Inc.

Crestron Electronics Inc.

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