Data Engineer Jobs

About The Position

Requirements

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience defining and implementing enterprise architecture strategies for metadata management, data lineage, data governance, or related data platforms.
• 5+ years of experience leading large-scale technology modernization, migration, or transformation initiatives across complex enterprise environments.
• Demonstrated experience designing scalable metadata ingestion, scanning, cataloging, and lineage solutions across diverse technology platforms.
• Strong understanding of metadata management, business glossary frameworks, data lineage, data observability, data quality, and data governance practices.

Nice To Haves

• Advanced degree in Computer Science, Information Systems, Engineering, Data Management, or a related discipline.
• 10+ years of experience designing, developing, and supporting enterprise-scale data management, metadata management, governance, lineage, catalog, or data quality platforms.
• Deep expertise in modern data architecture, cloud-native platforms, distributed systems, and enterprise data ecosystems.
• Demonstrated experience leading large-scale platform modernization, migration, and transformation initiatives across complex organizations.
• Strong understanding of metadata management, business glossary frameworks, data lineage, data observability, data quality, and data governance practices.
• Experience with enterprise data platforms and technologies such as Databricks, Snowflake, Hadoop, Oracle, SQL Server, Kafka, OpenShift/Kubernetes, and cloud services.
• Proven ability to define engineering roadmaps, influence architecture decisions, and drive technology strategy across multiple business and technology organizations.
• Experience implementing automation, AI/ML, or GenAI capabilities to improve data discovery, governance, operational efficiency, and developer productivity.
• Strong knowledge of software engineering best practices, including CI/CD, DevSecOps, site reliability engineering, observability, and platform engineering principles.
• Demonstrated ability to lead and mentor engineers, architects, and technical teams while fostering a culture of innovation, accountability, and operational excellence.
• Excellent executive communication and stakeholder management skills, with a proven ability to influence senior leadership and drive cross-functional alignment.
• Experience working in highly regulated financial services environments with an understanding of risk management, compliance, security, and data privacy requirements.
• Track record of delivering measurable business outcomes through technology innovation, process optimization, and engineering excellence.
• Strong analytical, problem-solving, and strategic thinking skills with the ability to balance long-term vision and near-term execution.

Responsibilities

• Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
• Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
• Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
• Establish Enterprise Metadata and Lineage Architecture
• Define scalable architecture patterns for metadata ingestion, scanning, lineage derivation, and repository integration.
• Standardize onboarding approaches across diverse technology stacks and domains.
• Ensure consistency of metadata models and interoperability with enterprise governance platforms.
• Accelerate Metadata Coverage Across the Bank
• Lead initiatives to rapidly expand metadata harvesting and scanning coverage from legacy and modern platforms.
• Drive automation strategies that reduce manual metadata capture and improve onboarding velocity.
• Enable industrial-scale adoption of metadata management capabilities.
• Deliver Enterprise Lineage Capabilities
• Lead engineering efforts for element-level lineage and lineage-as-a-service capabilities.
• Support regulatory, risk, operational resilience, and change management requirements through trusted lineage.
• Reduce time required for impact analysis and root-cause investigations.
• Drive Innovation and AI Enablement
• Advance AI-assisted metadata enrichment, semantic discovery, knowledge graph creation, and automated governance workflows.
• Enable future-state capabilities that support AI adoption through improved data visibility, discoverability, and trust.
• Provide Technical Leadership Across Multiple Agile Teams
• Mentor engineering teams across metadata management, data quality, observability, platform engineering, and governance tooling.
• Resolve complex cross-domain integration challenges and guide critical architectural decisions.
• Partner with senior technology and business leaders to align roadmaps and execution priorities.

Benefits

• hybrid work schedule