Architect, Data Engineer (SAP + Databricks)

Founded in 2017, Lovelytics helps some of the most complex enterprises across Energy & Utilities, Media & Entertainment, Manufacturing, Retail & CPG, Healthcare and Financial Services modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics. Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization. All of it is delivered primarily on Databricks, with deep partnerships across AWS, Azure, and GCP. In September 2026, Lovelytics became a CDW company. CDW completed its acquisition on September 25, 2026, bringing our team into its Data & Analytics Practice. Together, we can take customers from data strategy to production AI with a single partner across the full technology lifecycle. Lovelytics now has 600+ people across the United States, Canada, Argentina, and Colombia, all working exclusively in data and AI. We’ve kept the technically excellent, low-ego culture that earned us a Best Places to Work recognition, a spot among Databricks’ top partners, and three appearances on the Inc. 5000. Lovelytics is seeking an experienced Data Architect with SAP expertise to lead the design and delivery of complex data engineering and integration solutions for our clients. This client-facing role will focus on architecting scalable, high-performing data solutions that integrate SAP data with modern cloud technologies, including Databricks, AWS, and Azure. The ideal candidate brings deep SAP data expertise, strong technical leadership, and the ability to translate complex business requirements into effective architectural solutions. We're looking for someone who thrives in a collaborative, dynamic environment and shares our passion for bringing meaning to data. This role is open to remote candidates in the US.

This role is not open for work sponsorship at this time. Primary Responsibilities - Lead the end-to-end architecture, design, and delivery of complex data engineering and SAP integration solutions. - Serve as the technical lead on client engagements, owning architectural decisions and ensuring solutions align with business objectives and technical requirements. - Design scalable, secure, and high-performing data architectures leveraging Databricks, AWS, Azure, and other relevant technologies. - Architect SAP data integration solutions involving ECC and/or S/4HANA, leveraging deep knowledge of SAP tables, data structures, and underlying business processes. - Define data integration strategies and best practices utilizing SAP technologies such as Datasphere, BW, HANA, or Business Data Cloud (BDC). - Provide technical oversight of ETL/ELT pipelines, data warehousing, data modeling, and real-time data processing solutions. - Establish architectural standards and best practices for data quality, security, governance, CI/CD, and performance optimization. - Lead technical discovery sessions, architecture workshops, and solution design discussions with client stakeholders. - Partner with Engagement Managers and Delivery Leads to define technical scope, project estimates, and implementation strategies. - Provide technical guidance and mentorship to engineering teams, ensuring high-quality delivery and adherence to architectural standards. - Identify technical risks, evaluate architectural tradeoffs, and proactively recommend solutions to complex challenges. Our Ideal Candidate's Skills and Experience - Bachelor's degree in Computer Science, Engineering, or equivalent professional experience. - 8+ years of experience in data engineering, data architecture, or related technical disciplines, including experience leading complex technical solutions. - Extensive hands-on experience with Databricks , including designing and implementing scalable data engineering solutions.