Data SME (Subject Matter Expert)

Accountabilities:

• Act as a Subject Matter Expert for enterprise data platforms, architectures, and reporting ecosystems.


• Translate business requirements into scalable and efficient data models and solutions.


• Design, develop, and optimize data models, ETL/ELT pipelines, and analytics frameworks.


• Ensure data governance, quality, accuracy, consistency, and compliance standards are upheld.


• Collaborate with engineering, analytics, and business teams to improve data accessibility and usability.


• Support data integration, migration, transformation, and cleansing initiatives across systems.


• Create and maintain technical documentation, process flows, and best practice guidelines.


• Troubleshoot complex data issues and identify performance bottlenecks in data pipelines.


• Provide strategic insights and recommendations to improve data architecture and operations.


• Mentor team members and contribute to knowledge sharing and capability building.

Requirements

• 5+ years of experience in Data Management, Data Engineering, or Data Analytics roles.


• Strong expertise in SQL, data analysis, and reporting within large-scale environments.


• Experience with ETL/ELT processes, data integration, and modern data pipeline design.


• Solid understanding of data warehousing concepts and cloud-based data architectures.


• Hands-on experience with platforms such as AWS, Azure, GCP, Snowflake, or Databricks.


• Strong knowledge of data governance frameworks and data quality management practices.


• Experience with BI tools such as Power BI, Tableau, or Looker is highly desirable.


• Proficiency in Python or other scripting languages for data processing is a plus.


• Excellent analytical thinking and problem-solving skills.


• Strong communication and stakeholder management abilities in remote, global environments.


• Ability to work independently and manage priorities effectively in a distributed team setup.

• Competitive compensation package.


• Flexible remote working arrangement.


• Opportunities for professional development and career growth.


• Exposure to modern cloud data platforms and large-scale data ecosystems.


• Collaborative and supportive international working environment.


• Inclusive workplace with equal opportunity principles.

This listing is from ats_lever. View original listing ↗