Job Title : Senior Data Engineer Commerce Platform | Data Architecture & Integration.
Job Summary
We are looking for an experienced Senior Data Engineer (12- 15 years) to design, develop, and optimize data solutions that power insights and analytics across our commerce ecosystem.
You will play a key role in building scalable data platforms, integrating diverse data sources, and ensuring data quality, reliability, and accessibility across the organization.
As a senior member of the team, youll help shape our data architecture strategy, mentor other engineers, and work closely with business, analytics, and technology teams to deliver high-impact data initiatives that enable smarter decision-making and personalized customer experiences.
Key Responsibilities
Data Engineering & Development :
- Design and build robust, reusable, and scalable data pipelines for ingesting, transforming, and delivering data from multiple commerce systems (e.g., product, customer, order, marketing, payments).
- Develop and maintain data models and data warehouses that support reporting, analytics, and machine learning needs.
- Create efficient ETL/ELT workflows using modern tools and cloud services.
- Ensure high standards for data quality, integrity, and governance across systems and platforms.
- Implement automation, testing, and monitoring for data flows to ensure reliability and performance.
Architecture & Strategy
- Contribute to the design and evolution of the companys data architecture, including integration between operational systems, cloud data stores, and analytics platforms.
- Define and enforce best practices in data modeling, storage, and performance optimization.
- Collaborate with software engineering, product, and analytics teams to ensure data systems align with overall business and technology strategy.
Collaboration & Leadership
- Partner with data analysts, scientists, and business teams to understand data requirements and deliver trusted, well-structured datasets.
- Mentor and guide junior and mid-level engineers in data engineering principles and development practices.
- Participate in sprint planning, code reviews, and design discussions.
- Drive continuous improvement in data engineering processes, tools, and technologies.
Required Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
- 12- 15 years of experience in Data Engineering, Database Development, or ETL Architecture roles.
- Strong hands-on experience with SQL and data modeling for both transactional and analytical systems.
- Proven experience designing and developing data pipelines using ETL/ELT tools (e.g., Informatica, Talend, dbt, Matillion, Azure Data Factory, AWS Glue, or similar).
- Solid understanding of data warehousing concepts and experience with cloud platforms (AWS, Azure, or GCP).
- Strong programming experience in Python, Java, or Scala for data integration and automation tasks.
- Deep understanding of data architecture, data governance, and metadata management principles.
- Excellent communication skills and ability to work across technical and non-technical teams.
Preferred Qualifications
- Experience with commerce or retail data (customer, order, catalog, pricing, promotions).
- Exposure to API-based data integration, streaming data sources, or real-time analytics.
- Knowledge of business intelligence tools (Power BI, Tableau, Looker, etc.) and data modeling for analytics.
- Familiarity with data privacy, security, and compliance frameworks (GDPR, CCPA).
- Experience mentoring teams and contributing to enterprise-level data strategy.
(ref:hirist.tech)
