Architect, Data Engineer (SAP + Databricks) (Fully Remote)

Lovelytics; United States; Remote; USD 170,000 - 210,000; Full time

Job summary

Lovelytics is seeking a seasoned data architect to lead end-to-end data engineering and SAP integration initiatives in the United States.

You will own architectural decisions, set standards for quality, security, and CI/CD, and mentor a team of data engineers while collaborating with global clients.

Experience with SAP ECC/S/4HANA, Databricks, and cloud platforms (AWS/Azure) is required, along with a proven track record in delivering scalable, production-grade data solutions.

Qualifications

• 8+ years in data engineering or architecture.
• Deep SAP ECC/S/4HANA expertise and Databricks experience.

Responsibilities

• Lead end-to-end architecture, design, and delivery of data engineering and SAP integration solutions.
• Serve as technical lead on client engagements, owning architectural decisions.
• Establish standards for data quality, security, governance, CI/CD, and performance optimization.

Skills

Data architecture

SAP ECC/S4HANA

Databricks

SAP data integration

AWS

Azure

Tools

Datasphere

BW

HANA

BDC

Job description

• Lead end-to-end architecture, design, and delivery of data engineering and SAP integration solutions.
• Serve as technical lead on client engagements, owning architectural decisions and ensuring solutions meet business requirements.
• Establish standards for data quality, security, governance, CI/CD, and performance optimization.

Ideal Candidate:

• 8+ years in data engineering or architecture, with deep SAP ECC/S/4HANA and Databricks expertise.
• Proven experience with SAP data integration technologies (Datasphere, BW, HANA, or BDC) and cloud platforms (AWS/Azure).

What We Promise:

• Exciting projects with global clients across industries, working with experienced data engineers.
• A workplace encouraging innovation and a diverse team of data gurus and entrepreneurial minds.

Lovelytics

Lovelytics helps enterprises modernize data and deploy AI in production across industries like Energy, Media, Manufacturing, and Retail. The company has grown from 85 to 500+ people, maintaining a technically excellent, low-ego culture that earned Best Places to Work recognition.