Sr. Qlik Data Engineer-8
Role summary
We are seeking a Senior Qlik Data Engineer to design and implement scalable data architectures and lead the development of data strategies aligned with business objectives. This role involves hands-on development of complex, automated data pipelines for real-time and batch processing, optimizing data flows for high-volume environments, and developing advanced ETL processes. You will establish and enforce data governance policies, implement data quality frameworks, and ensure compliance with data regulations. The position requires performance optimization, troubleshooting complex data issues, and mentoring junior data engineers. Key technical skills include modern cloud-based data technologies, data security and governance methodologies, Qlik Replicate, DBT Cloud, Snowflake, Python, Pyspark, advanced SQL, and CI/CD tools. Experience with AWS services, data orchestration, logging, monitoring, and sensitive data protection strategies is essential. Financial banking experience and relevant certifications are a plus.
Raleigh, North Carolina 27513 Posted March 29th, 2026
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Job Type: Full Time
Job Category: IT
Job Description
Job Title: Sr. Qlik Data Engineer
Location – Raleigh, NC
FTE
Job Description
- Data Architecture and Strategy - Design and implement scalable, efficient data architectures. Lead the development of data strategy aligned with business objectives. Evaluate and integrate new technologies to enhance data capabilities
- Hands-on Data Pipeline Development - Implement complex data pipelines for real-time and batch processing. Optimize data flows for high-volume, high-velocity data environments. Develop advanced ETL processes for diverse data sources.
- Data Governance and Quality Management - Establish and enforce data governance policies and best practices. Implement data quality frameworks and monitoring systems. Ensure compliance with data regulations and standards
- Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot complex data issues and implement robust solutions
- Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams to drive data literacy
- Testing & Automation – Write unit test cases, validate the data integrity & consistency requirements, build automated data pipelines using GitLab, Git hub, CICD tools.
- Code Deployment & Release Management - Adopt release management processes to promote code deployment to various environments including production, disaster recovery, and support activities.
Technical/Business Skills:
- Strong hands-on experience in building robust metadata-driven, automated data pipeline solutions leveraging modern cloud-based data technologies, tools for large data platforms.
- Strong experience leveraging data security, governance methodologies meeting data compliance requirements.
- Strong hands-on experience building medallion architecture automated ELT data pipelines, snow pipe frameworks leveraging Qlik Replicate, DBT Cloud, snowflake with CICD.
- Strong hands-on experience building data pipelines, data integrity solutions across multiple data sources and targets like SQL Server, Oracle, Mainframe-DB2, files, Snowflake.
- Experience working with various structured & semi-structured data files - CSV, fixed width, JSON, XML, Excel, and mainframe VSAM.
- Experience using S3, Lambda, SQS, SNS, Glue, RDS AWS services.
- Excellent proficiency in Python, Pyspark, advanced SQL for ingestion frameworks and automation.
- Hands-on data orchestration experience using DBT cloud, Astronomer Airflow.
- Experience in implementing logging, monitoring, alerting, observability, performance tuning techniques.
- Implement and maintain sensitive data protection strategies – tokenization, snowflake data masking policies, dynamic & conditional masking, and role based masking rules.
- Strong experience designing, implementing RBAC, data access controls, adopting governance standards across Snowflake and supporting systems.
- Strong experience in adopting release management guidelines, code deployment to various environments, implementing disaster recovery strategies, leading production activities.
- Experience implementing schema drift detection and schema evolution patterns.
- Financial banking experience is a plus.
- Must have one or more certifications in the relevant technology fields.
Required Skills
CLOUD SECURITY ENGINEER
DEVOPS ENGINEER
SENIOR EMAIL SECURITY ENGINEER