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Job Description
Requirements
Must-have experience
- 8+ years of experience in data engineering and/or data architecture roles
- Strong expertise in AWS services including Lambda, S3, Redshift, and Glue
- Proven experience with Snowflake and modern data platforms
- Solid understanding of data integration patterns: ETL/ELT, batch, streaming, event-driven, and API-based integration
- Experience designing and building scalable, secure, and high-performance data integration solutions
- Strong knowledge of data governance, data cataloging, and data lineage
- Hands-on experience building and optimizing data pipelines and storage solutions
- Proficiency in version control using GitHub and collaborative development environments
- Experience working with DBT for data transformation workflows
- Familiarity with data security, compliance, and governance best practices
- Strong collaboration skills with cross-functional teams including engineering, product, and business stakeholders
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field
Nice-to-have experience
- Experience integrating data solutions with Microsoft Power Platform (Power Apps, Power Automate)
- Familiarity with SharePoint for enterprise data access and workflow automation
- Exposure to enterprise productivity tools integration
- Experience working in hybrid or distributed teams across regions
Responsibilities
- Design and implement scalable, secure, and high-performance data integration architectures using AWS and Snowflake
- Translate business and product requirements into robust data architecture and integration designs
- Analyze business processes to identify optimal data integration approaches (batch, streaming, event-driven, API-based)
- Architect and optimize data pipelines using AWS services, Snowflake, and DBT
- Collaborate with engineering, data analysts, and business stakeholders to ensure data solutions meet business needs
- Ensure compliance with data governance, security, and regulatory standards
- Integrate data platforms with enterprise tools such as Power Apps and SharePoint
- Document data architecture, data flows, and integration processes
- Promote and enforce best practices in data management, governance, and version control
- Provide technical leadership in data architecture decisions and solution design
Required Languages
- English: Advanced 80–95%