About The Company Delta System & Software, Inc. is a rapidly expanding IT staffing and professional services firm renowned for its expertise in SAP, Guidewire, Cloud, AI, ML, SRE, data, and application development. Headquartered in Texas, Delta boasts a global presence with offices across the USA, Canada, India, Europe, the Middle East, and Australia.

The company specializes in delivering comprehensive business and technology consulting, digital transformation solutions, application development, and ongoing maintenance and support services. Committed to fostering innovation and excellence, Delta strives to help clients achieve their strategic objectives through tailored technology solutions. With a focus on quality, integrity, and customer satisfaction, Delta has established itself as a trusted partner in the IT industry.

About The Role The MDM Data Engineer at Delta System & Software, Inc. will play a pivotal role in designing, building, and maintaining enterprise data pipelines and models that underpin the company's Master Data Management (MDM) initiatives. This remote, offshore position requires a seasoned professional with extensive experience in data engineering, data modeling, and MDM concepts.

The engineer will work closely with onshore data architecture and platform teams to ingest data from multiple authoritative sources such as SAP, Salesforce/Engage, and others, ensuring seamless integration and high data quality. The role involves developing layered data architectures—covering RAW, STAGED, and PROFILE layers—and contributing to the development of graph-based MDM models that encompass entities like Clubs, Schools, Colleges, and Individuals, as well as product style and variant models. The position offers an excellent opportunity to work on complex data projects within a collaborative environment, leveraging advanced tools and techniques to deliver scalable, efficient, and accurate data solutions.





Qualifications The ideal candidate will possess a minimum of 8+ years of IT experience with a strong background in data engineering and MDM.

Essential qualifications include expertise in Snowflake (minimum 5 years), PL/SQL (5 years), Master Data Management (5 years), scripting with Python (5 years), and experience with SAP, Salesforce, or similar systems. Candidates should demonstrate proficiency in data profiling, data quality, and layered data architecture implementation. Strong knowledge of data modeling across relational, dimensional, and graph structures is required.

Practical experience with DevOps practices, automation scripting, and Agile methodologies is highly desirable. A proven track record of working with large datasets, performance tuning, and implementing enterprise-grade data solutions is essential. Excellent communication skills and the ability to collaborate effectively across geographically dispersed teams are critical for success in this role.

Responsibilities

- Design, develop, and operate scalable data pipelines and models on Snowflake, ensuring optimal performance, resource management, and cost efficiency.
- Implement layered data architectures (RAW/STAGED/PROFILE) for ingestion, standardization, deduplication, and publication of enterprise data.
- Extract, transform, and load data from SAP, Salesforce, and other sources, ensuring high data quality and integrity.
- Develop and maintain advanced SQL queries, including window functions, recursive CTEs, and complex joins for data analysis and troubleshooting.
- Create reusable Python scripts and libraries for data ingestion, transformation, and automation tasks.
- Perform data profiling and quality assessments,



implementing validation rules and anomaly detection in a database-agnostic manner.
- Implement MDM concepts such as match/merge, survivorship rules, hierarchy management, and golden record creation.
- Develop and maintain data models, including relational, dimensional, and graph schemas, to support enterprise data needs.
- Apply DevOps practices by managing code repositories, conducting code reviews, and deploying updates through CI/CD pipelines.
- Automate manual data operations using scripting and orchestration tools like Airflow, Snowflake Tasks, or similar.
- Collaborate with onshore teams to understand requirements, troubleshoot issues, and deliver high-quality data solutions within an Agile environment.
- Participate in continuous learning to stay updated with emerging data technologies, tools, and best practices.

Benefits Delta System & Software, Inc. offers competitive compensation packages, including comprehensive health insurance, retirement plans, and paid time off. Employees benefit from flexible work arrangements, professional development opportunities, and a collaborative work setting that fosters innovation and growth. The company supports work-life balance and provides resources to help employees excel in their careers. Additionally, team members have access to cutting-edge tools and technologies, enabling them to work on challenging and impactful projects that contribute to their professional advancement.

Equal Prospect

Delta System & Software, Inc. is an equal prospect employer. We value diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, or any other characteristic protected by law. Our goal is to foster a workplace where everyone feels respected, valued, and empowered to contribute to the company's success.

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