Senior Data Engineer

Sr. Data Engineer

The Sr. Data Engineer plays a key role in designing, implementing, and maintaining data architectures, pipelines, and analytics solutions that support business intelligence and decision-making. The role ensures the quality, security, and reliability of data systems and analytics applications across the organization. The Sr. Data Engineer also leads initiatives to optimize ETL/ELT processes, develop operational data stores, data marts, and supports data analytics teams by providing guidance, troubleshooting, and best practices in data handling.

Responsibilities:

• Create data management strategies to support business intelligence efforts.
• Build and maintain data architecture to support enterprise data strategy.
• Design logical data models and implement physical database structures.
• Ensure data quality, security, and reliability across all analytics systems.
• Construct and implement operational data stores and data marts.
• Provide support for deployed data applications and analytical models.
• Design, develop, and maintain real-time and batch ETL/ELT processes.
• Optimize data pipelines for performance, readability, and maintainability.
• Build technical requirements for respective domains and applications.
• Augment data pipelines from raw OLTP databases to structured data solutions.
• Conduct design reviews of code, tables, and databases within the data warehouse architecture.
• Document data flow diagrams, security access, data quality, and availability.
• Develop and maintain query libraries to support recurring data requests.
• Lead data analysis, reporting, and visualization efforts for departmental performance indicators.
• Candidatetor and assist less experienced staff in data analysis and visualization.
• Translate departmental scenarios and requirements into technical specifications.
• Identify best practices in data analysis and visualization and lead their implementation.
• Establish and maintain effective relationships with stakeholders to support business goals.
• Develop training resources and deliver training to stakeholders.
• Lead new processes, standards, and operational plans at the department level.
• Participate in leadership initiatives and System-wide projects as required.

Requirements/Must Have:

• Bachelor’s degree in a related field with 7 years of relevant experience, or Master’s degree with 5 years of experience.
• Minimum 1 year of work experience as a Data Engineer or equivalent.
• Intermediate knowledge of data warehouse architectures, ETL/ELT processes, and data modeling.
• Experience with scripting languages and big data tools.
• Familiarity with cloud-based data platforms and CI/CD pipelines.
• Understanding of data security, privacy regulations, SDLC, and Agile methodologies.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills.
• Attention to detail and commitment to quality.

Skills:

• Data analysis and visualization (SQL, SQL Server, Tableau, ACL, PowerBI).
• Microsoft Office 365 proficiency (Teams, Excel, PowerPoint, Word).
• Ability to drive results, manage complexity, and collaborate effectively.
• Strong relationship-building and customer focus skills.
• Project management and business acumen.

Qualification and Education:

• Bachelor’s or Master’s degree in a related field.
• Related certifications, active participation in industry organizations, or advanced degrees preferred.