Note: The job is a remote job and is open to candidates in USA. Sectech Solutions is seeking a Data Engineering Manager to lead a high-performing team responsible for ETL development, operational support, and modern data architecture. The role oversees project delivery, production reliability, KPI implementation, and engineering best practices across legacy and cloud data platforms.

Responsibilities

• Team Leadership & Development: Lead, mentor, and resource-manage a team of data engineers. Foster collaboration, balance workloads, and support continuous professional development
• Project Delivery & Management: Plan, execute, and monitor ETL/EDW projects through the full lifecycle. Maintain project schedules, manage scope and risks, and provide regular status updates to stakeholders
• Production Support & Reliability: Oversee production ETL pipeline performance, lead incident responses, execute root cause analyses (RCA), and improve system monitoring and alert frameworks
• KPI Implementation & Optimization: Define, automate, and track key daily and monthly ETL performance metrics (e.g., job success rates, data latency, error rates, SLA adherence). Drive continuous operational improvements based on metric trends
• Process Improvement & Best Practices: Enforce code reviews, development standards, and data modeling best practices. Automate manual processes and align ETL solutions with enterprise data warehouse (EDW) architecture and data quality goals

Skills

• Applicants MUST be a US citizen - Sponsorship/Visa are not an option for this role
• Remote Working - Eastern Timezone working hours
• 7+ years in ETL development, data engineering, or data warehousing, with at least 5+ years in a leadership or managerial capacity
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• Strong hands-on expertise with Snowflake and dbt (data build tool)
• Proficiency with MS SQL Server and SSIS
• Advanced SQL writing, query analysis, data modeling, and integration concepts
• Solid track record in production support, incident management, root cause analysis, and establishing operational KPIs
• Outstanding communication, stakeholder management, and project execution capabilities
• Hands-on experience with Azure or other cloud platforms
• Familiarity with CI/CD and DevOps practices tailored to data pipeline deployments
• Knowledge of enterprise data governance, compliance, and data quality frameworks

Benefits

• Remote Working - Eastern Timezone working hours
• Contract To Hire - Initial Contract Period 6 to 12 months
• Support continuous professional development

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