About the Role We are looking for a Data Engineer – Enterprise Data Support who will play a critical role in ensuring smooth operations across enterprise data platforms. This role requires strong communication, stakeholder management, and problem-solving skills to simplify complex issues, manage data-related incidents, and collaborate with technical teams for long-term solutions.
Key Responsibilities
Monitor, manage, and resolve Jira tickets related to enterprise and reference data issues. Conduct initial triage of issues, assess severity/urgency, and assign to the right teams. Collaborate with cross-functional teams to resolve problems. Provide regular stakeholder communication and updates on issue resolution. Document troubleshooting steps and build a knowledge base for recurring problems. Work with L3/engineering teams on root cause analysis and long-term fixes. Support data integrity, governance, and accuracy across systems. Participate in recurring operational review meetings and progress updates.Qualifications
Bachelor’s degree in Information Technology, Computer Science, Finance, or related field. 5–7 years of experience in data engineering, data operations, or enterprise data support. Strong knowledge of data management concepts and data troubleshooting. Familiarity with Jira or other ticketing systems. Excellent communication and documentation skills. Ability to manage multiple stakeholders and priorities in a fast-paced environment. Exposure to BI/analytics platforms (e.g., MicroStrategy) is a plus. Experience with ThinkFolio, Aladdin, or similar platforms is advantageous. Desired Attributes
Proactive, resourceful, and able to simplify complex problems. Strong analytical and critical thinking skills. Customer-focused, with strong interpersonal skills. Ability to adapt and learn quickly in a dynamic environment.Additional
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