Data SME (Subject Matter Expert)

Data SME (Subject Matter Expert)

This role is a key technical and strategic position focused on shaping enterprise data solutions across large-scale, distributed environments. You will act as a trusted expert, bridging business needs with robust data architecture, analytics, and governance practices. Working remotely with global stakeholders, you will influence how data is structured, accessed, and leveraged for decision-making across the organization. The position involves both hands-on problem solving and high-level advisory responsibilities, ensuring data quality, consistency, and performance across platforms. You will contribute directly to the evolution of modern data ecosystems while supporting migration, integration, and optimization initiatives. This is an excellent opportunity for a seasoned data professional who enjoys combining technical depth with cross-functional collaboration and strategic impact.

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.

Benefits:

• 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.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

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