Architect, Data Engineer (SAP + Databricks)

Lovelytics • Arlington, VA

8d • $150,000 - $215,000 • Remote

About The Position

Lovelytics is seeking an experienced Data Architect with SAP expertise to lead the design and delivery of complex data engineering and integration solutions for clients. This client-facing role focuses 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, technical leadership, and the ability to translate complex business requirements into effective architectural solutions in a collaborative, dynamic environment.

The role is open to remote candidates in the US. Work sponsorship is not available for this role. The US base salary range is $150,000–$215,000 per year. Compensation depends on factors including relevant experience, skills, qualifications, scope of role, and budget; candidates are not guaranteed a particular point in the range, and most offers will fall within the middle of the range or below.

Lovelytics works across the data and AI lifecycle, delivering services on Databricks and partnering with AWS, Azure, and GCP. The company reports having delivered over $2B in business value for Fortune 500 clients and grown to more than 500 people across the Americas.

Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.
• At least 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.
• Deep understanding of SAP ERP data architecture (ECC and/or S/4HANA), including underlying tables, data relationships, and business processes.
• Strong experience with at least one SAP data integration technology: SAP Datasphere, SAP BW, SAP HANA, or SAP Business Data Cloud (BDC).
• Proven experience designing SAP-to-cloud data integration solutions and enterprise data architectures.
• Advanced knowledge of data warehousing, lakehouse architecture, data modeling, ETL/ELT, and cloud technologies (AWS and/or Azure).
• Strong understanding of data security, governance, CI/CD, and performance optimization.
• Demonstrated ability to independently lead technical engagements, guide engineering teams, and make architectural decisions.
• Excellent client-facing communication skills, including translating business requirements into technical solutions and presenting recommendations to stakeholders.

Nice To Haves

• Experience working in a consulting or professional services environment.

Responsibilities

• Lead end-to-end architecture, design, and delivery of complex data engineering and SAP integration solutions.
• Serve as technical lead on client engagements, own architectural decisions, and ensure solutions align with business objectives and technical requirements.
• Design scalable, secure, high-performing data architectures using Databricks, AWS, Azure, and other relevant technologies.
• Architect SAP data integration solutions involving ECC and/or S/4HANA, applying knowledge of SAP tables, data structures, and business processes.
• Define data integration strategies and best practices using 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.
• Guide and mentor engineering teams, ensuring high-quality delivery and adherence to architectural standards.
• Identify technical risks, evaluate architectural tradeoffs, and proactively recommend solutions to complex challenges.

Benefits

• Exciting projects with great clients across varying departments and verticals around the world.
• Opportunity to work closely with experienced data engineers and grow and expand skills.
• Opportunity to work with companies of all sizes, from Fortune 100 organizations to small local businesses.
• A workplace that encourages challenging the status quo and developing new technologies, methodologies, and processes.
• A diverse team of data specialists, experience seekers, and entrepreneurial minds.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior