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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing data operations, including batch and streaming data pipelines, incident management, and data quality assurance. Proficient in SQL, cloud platforms, and data orchestration tools, with strong leadership and communication skills to coordinate cross-functional teams and stakeholders.
Highest-signal resume keywords
Data Operations ManagementSQL ProficiencyCloud Platform ExperienceIncident ManagementTeam Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLETL/ELT ProcessesData Quality ChecksData OrchestrationPythonShell ScriptingData WarehousingData LakeMonitoring ToolsRoot-Cause Analysis
Soft Skills
Team SupervisionWorkload PlanningClear CommunicationStructured Problem-SolvingCollaboration
Tools & Technologies
AirflowAzure Data FactorySparkDbtKafka
Industry Keywords
Data GovernanceITILDevOpsDataOpsCorporate Finance Processes
Tech Stack
Tools & technologiesAirflowAWSAzureCloudERPETLGoogle Cloud PlatformKafkaPythonShell ScriptingSparkSQL
About the role
Key responsibilities & impact- Manage daily operation of batch and streaming data pipelines, including ingestion, transformation, scheduling, and delivery
- Monitor job execution, data freshness, processing volumes, and dependencies; coordinate reruns, backfills, and recovery
- Maintain operational runbooks, standard operating procedures, job inventories, dependency maps, and escalation paths
- Investigate pipeline failures, data discrepancies, and performance issues using logs, monitoring tools, and SQL
- Coordinate production changes and releases with engineering and DevOps teams
- Lead incident triage, business-impact assessment, escalation, service restoration, and root-cause analysis
- Plan and prioritize operational workloads, support requests, and improvement activities against SLAs
- Implement incident, problem, change, and service request management practices
- Track and report pipeline success rates, data freshness, SLA adherence, incident volumes, recovery times, and recurring failures
- Automate repetitive checks, recovery steps, and reporting
- Operate data quality checks and source-to-target reconciliations
- Manage data operations analysts and support engineers, including capacity planning, onboarding, performance feedback, training, and coaching
- Partner with finance stakeholders, data owners, reporting teams, engineering, platform, security, and governance teams
- Support onboarding of new data services and communicate service status, incidents, business impact, recovery estimates, and improvement progress
- Maintain data quality checks and improvement backlogs
- Support backup and recovery validation, continuity exercises, retention procedures, and data integrity verification
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience
- 7+ years of experience in data operations, data engineering support, production support, or analytics operations, including responsibility for enterprise data services
- 2+ years of team leadership or people-management experience
- Hands-on experience supporting data workloads on at least one major cloud platform: Azure, AWS, or GCP
- Strong SQL skills and understanding of ETL/ELT processes, relational databases, data warehouses, and data lake or lakehouse environments
- Experience with data orchestration and processing tools such as Airflow, Azure Data Factory, Spark, dbt, or Kafka
- Working knowledge of Python or shell scripting, APIs, file-based integrations, logging, and monitoring tools
- Understanding of data quality, reconciliation, lineage, role-based access, sensitive-data handling, and enterprise governance requirements
- Ability to manage production data services against SLAs and coordinate service restoration
- Experience with incident, problem, and change management, release support, runbooks, and root-cause analysis; familiarity with ITIL, DevOps, or DataOps practices
- Ability to interpret operational metrics and coordinate improvements
- Exposure to corporate finance processes (P2P, O2C, R2R, and FP&A) is preferred
- Experience supporting finance transformation, ERP-connected data pipelines, analytics platforms, or period-end reporting operations is highly desirable
- Strong team supervision, workload planning, coaching, and collaboration skills
- Clear stakeholder communication, including explaining incidents, business impact, and resolution progress to non-technical audiences
- Ability to remain organized under pressure, apply structured problem-solving, and balance hands-on troubleshooting with delegation