What are the responsibilities and job description for the ETL Architect position at EvonSys?
Job Title: ETL Architect
Location: Pittsburgh
Employment Type: Full-Time
Job Summary
We are seeking an experienced ETL Architect to design, implement, and manage ETL solutions that ensure seamless data integration across enterprise systems. The ideal candidate will have a strong technical background, a deep understanding of data management principles, and expertise in transforming complex business requirements into scalable ETL frameworks.
Key Responsibilities
- Architecture Design:
- Develop and document scalable ETL architectures for data integration and transformation processes.
- Design data flow processes that align with enterprise data strategy and business needs.
- ETL Development:
- Build, test, and optimize ETL processes using tools such as Informatica, Talend, Apache NiFi, Microsoft SSIS, or equivalent.
- Implement robust error handling, logging, and performance monitoring mechanisms.
- Data Integration:
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
- Integrate data from various sources, including on-premises databases, cloud platforms, and third-party APIs.
- Performance Optimization:
- Monitor and enhance ETL performance to meet SLAs and handle large datasets efficiently.
- Troubleshoot bottlenecks and resolve issues in data workflows.
- Governance and Standards:
- Ensure compliance with data governance policies, security standards, and regulatory requirements.
- Establish best practices and documentation for ETL processes.
- Team Collaboration:
- Provide technical guidance to ETL developers and other team members.
- Act as a subject matter expert in ETL architecture and data integration technologies.
Qualifications and Skills
Required:
- Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.
- Proven experience as an ETL Architect or similar role.
- Expertise Informatica 10.5, ,UNIX, Mainframe Scheduling, DB View creation, Stored Procedures & DB Tuning.
- Strong knowledge of SQL, database systems (e.g., Oracle, SQL Server, PostgreSQL), and data modeling.
- Proficiency in programming or scripting languages (e.g., Python, Java, Shell scripting).
- Experience with cloud platforms (AWS, Azure, GCP) and associated data services (e.g., AWS Glue, Azure Data Factory).
- Familiarity with Big Data frameworks (e.g., Hadoop, Spark) is a plus.
- Solid understanding of data warehousing, data lakes, and real-time data processing.
Preferred:
- Certification in ETL tools or cloud data services.
- Experience with Agile/Scrum methodologies.
- Strong problem-solving and analytical skills.
Key Competencies
- Strong communication and interpersonal skills.
- Ability to handle multiple priorities in a fast-paced environment.
- Detail-oriented with a focus on data accuracy and quality.
- Team leadership and mentoring capabilities.
Benefits
- Competitive salary and performance-based incentives
- Comprehensive health and wellness benefits
- Opportunities for career development and growth
- Access to the latest technologies and resources for continued professional development
