Curant Health

Candidates must be legally authorized to work in the United States on a permanent basis. This position does not offer visa sponsorship now or in the future.

Must be local to Atlanta****

We are seeking a highly experienced Senior ETL Developer / ETL Solutions Engineer to lead the design, delivery, and modernization of our enterprise data integration platform. This role combines deep hands-on technical expertise with architectural leadership, client engagement, and data governance ownership.

You will serve as the organization’s data pipeline authority, defining standards, partnering with clients and internal stakeholders to gather requirements and approve specifications, ensuring data quality and trust, and driving modernization initiatives including cloud migration, automation, and real-time data processing.

This role is ideal for a senior engineer who enjoys building scalable architectures, mentoring engineers, translating business needs into technical solutions, and owning enterprise data quality outcomes.

Success in This Role

You will excel in this role if you:

• Balance visionary architectural thinking with hands-on technical depth.
• Build scalable, resilient data architectures while ensuring data accuracy and trust.
• Inspire engineers to adopt best practices and deliver high-quality solutions under tight timelines.
• Serve as a strong bridge between business requirements and technical execution.
• Take ownership of data quality, reliability, and modernization initiatives.

Key Responsibilities:

ETL Solution Architecture & Design

• Design and maintain the enterprise ETL and data integration architecture, including orchestration, transformation frameworks, and data flow standards.
• Develop detailed data specifications, interface contracts, and standardized data packages.
• Partner with clients and business stakeholders to gather requirements and translate them into approved technical specifications.
• Collaborate with third-party data aggregators and external vendors to define data exchange standards and ensure timely, accurate delivery.
• Ensure all solutions align with enterprise architecture standards, security policies, and data governance frameworks.
• Partner with technology architects to design scalable data automation systems.

Data Quality & Governance Leadership

• Design, implement, and maintain enterprise data quality frameworks, including validation rules, profiling, anomaly detection, and monitoring.
• Establish automated controls for schema validation, referential integrity, deduplication, and conformity standards.
• Perform end-to-end data profiling to identify quality gaps, outliers, and remediation plans.
• Partner with data owners, analysts, and business leaders to define data quality rules and acceptance criteria.
• Monitor daily ETL loads and dashboards, proactively identifying issues and leading root-cause analysis.
• Implement robust error handling, alerting, and exception management across all pipelines.
• Maintain metadata, data dictionaries, and lineage documentation to ensure transparency and auditability.
• Enforce compliance with data governance and regulatory requirements (HIPAA, SOX, etc.).

Technical Leadership & Mentorship

• Provide hands-on technical leadership to ETL developers and data engineers.
• Review architecture designs, code, and workflows for scalability, performance, and maintainability.
• Establish engineering standards, reusable frameworks, and development best practices.
• Mentor junior and mid-level engineers, supporting skill development and technical excellence.

Project Delivery & Stakeholder Engagement

• Lead end-to-end implementation of complex ETL pipelines across multiple source systems (APIs, flat files, cloud platforms, operational systems).
• Coordinate with product owners, application teams, clients, and analysts to deliver high-impact data solutions.
• Own technical delivery timelines, risks, and dependencies.

Innovation & Optimization

• Evaluate and recommend modern tools and platforms to enhance ingestion, transformation, and orchestration.
• Drive automation initiatives, CI/CD adoption for ETL, and cloud-native architecture evolution (Azure).
• Continuously optimize performance, reliability, scalability, and cost efficiency.

Security, Compliance & Reliability

• Partner with security and governance teams to enforce privacy, access controls, and lineage standards.
• Implement robust logging, auditing, monitoring, and disaster recovery strategies.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
• 7+ years of experience in ETL / data engineering roles.
• 2+ years in a lead, architect, or technical leadership capacity.
• Strong expertise with ETL platforms (e.g., SSIS, Azure Data Factory).
• Advanced SQL and data modeling skills (relational, dimensional, NoSQL).
• Hands-on experience building data pipelines in cloud environments (Azure preferred).
• Experience with scripting languages (Python, Bash, etc.) and Git version control.
• Strong understanding of CI/CD pipelines, automation, and infrastructure-as-code concepts.
• Excellent communication, documentation, and stakeholder engagement skills.
• Proven experience gathering requirements and translating business needs into scalable technical solutions.

Preferred Qualifications

• Experience with real-time data platforms (Kafka, Kinesis, Pub/Sub).
• Experience with modern data warehouses (Snowflake, Synapse, BigQuery, Redshift).
• Familiarity with data governance and lineage platforms (Collibra, Alation, Apache Atlas).
• Exposure to ML/AI pipelines or modern data mesh architectures.
• Leadership experience in Agile or hybrid delivery environments.

Additional Skills

Language Skills

• Ability to read technical documentation and policies.
• Strong written communication for specifications, standards, and reporting.
• Ability to present effectively to technical and non-technical audiences.

Analytical & Reasoning Skills

• Strong problem-solving abilities across complex systems and datasets.
• Ability to analyze multiple variables and troubleshoot enterprise-scale data pipelines.

Technical Environment

• Windows OS, Microsoft Office Suite, enterprise infrastructure technologies, database platforms, networking fundamentals.

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Vision insurance

Work Location: Hybrid remote in Smyrna, GA 30082