Principal Data Engineer (Data Strategy & Architecture)

Location: Cincinnati, Ohio, United States

Company

hirify.global is a banking institution focused on delivering financial services while managing secure, governed, and reliable data capabilities.

What you will do

• Design, develop, support, and modernize scalable data solutions, APIs, tools, platforms, and pipelines across traditional and modern architectures.
• Lead the full lifecycle of complex, strategic data solutions, including design, testing, deployment, monitoring, operational support, and retirement.
• Collaborate with application teams, Enterprise Architecture, infrastructure, information security, business stakeholders, product owners, and Agile teams.
• Build CI/CD pipelines, self-service deployment tools, automated testing, validation, reconciliation, monitoring, and data quality controls.
• Optimize data pipelines for efficiency, scalability, observability, performance, and production reliability; support critical incident response.
• Set engineering standards, conduct technical research, lead modernization initiatives, resolve cross-team dependencies, and mentor engineers across multiple teams.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or an equivalent combination of education and experience.
• 8+ years of related experience, including at least 6 years in hands-on software development or data engineering.
• Strong verbal and written communication skills, including the ability to communicate with technical and non-technical stakeholders, sponsors, and leadership.
• Proficiency in SQL, including query optimization, complex joins, window functions, and analytical queries across large-scale datasets.
• Significant experience with at least two relational database management systems, SQL-based data platforms, and large-scale data processing patterns.
• Experience supporting Unix/Linux and Windows systems; proficiency in relational database modeling.
• Strong understanding of distributed computing, scalable data architectures, application and data security, common vulnerabilities, and security best practices.
• Experience using AI-assisted engineering capabilities and understanding how trusted data supports analytics, artificial intelligence, and machine learning.
• Understanding of data product principles and experience managing the full lifecycle of data assets, including ownership, quality, discoverability, documentation, lineage, and governance.

Nice to have

• Experience with modern data platforms, cloud-native architectures, and data transformation technologies such as Snowflake or dbt.
• Experience with traditional data engineering tools such as IBM DB2 or IBM Information Server/DataStage.
• Experience with metadata management, data governance, BI reporting, data visualization, messaging and streaming systems such as Apache Kafka, or data warehousing.
• Experience with REST API design and development, version control, CI/CD, infrastructure automation, virtualization, or AWS, Azure, or GCP.
• Experience collaborating with offshore teams.
• Financial services industry experience.

Culture & Benefits

• Full-time employment with comprehensive benefits supporting physical, financial, emotional, and social well-being.
• Eligible for base compensation and participation in an incentive compensation plan.
• Inclusive culture and equal employment opportunity across employment decisions.
• No supervisory responsibilities.

Hiring process

• Applications from search firms or staffing agencies without an active agreement with Fifth Third are not accepted; unsolicited resumes are not eligible for associated fees.