Software Engineer III (US)

TDMount Laurel, NJ
$98,160 - $159,270Onsite

About The Position

The Software Engineer III leads the creation of comprehensive end-to-end detailed solutions for projects and platforms with overall accountability for the technical design and delivery of a specific technical solution based on requirements from stakeholders. Develops and maintains technical solutions, ensuring adherence to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards. Ultimately, providing expert advice and lead in system / application administration, installation, configuration / provisioning, platform planning and design, integration and release / deployment management. Role Summary Highly technical Software Engineer III – Metadata Management & Data Discovery to help lead the design, engineering, and delivery of enterprise metadata harvesting capabilities across cloud, multi-cloud, and legacy on-premises data platforms. This role will be responsible for ideating, designing, building, and operationalizing scalable metadata harvesting solutions that enable automated discovery, cataloging, lineage, classification, and governance of enterprise data assets. The successful candidate will support the Data Discovery and Metadata Harvesting function by building reusable patterns and integrations that harvest structured and semi-structured metadata from platforms such as Databricks Unity Catalog, Azure ADLS, Azure Synapse, AWS, Google Cloud, Oracle, SQL Server, DB2, Teradata, mainframe files, SFTP/network shares, and other enterprise data stores. The role will be central to advancing Collibra as the enterprise metadata system of record and will partner closely with engineering, cloud infrastructure, architecture, security, governance, and data platform teams to ensure metadata is harvested, normalized, enriched, reconciled, and maintained in a trusted and audit-ready manner.

Requirements

  • Undergraduate degree, Post Graduate degree or Technical Certificate
  • Strong academic background (e.g., computer science, engineering)
  • 5-7 years relevant experience
  • Strong hands-on experience designing and building data engineering, metadata management, data catalog, or data governance technology solutions.
  • Strong programming experience with Python, SQL, and API-based integration patterns.
  • Deep experience with Databricks, Unity Catalog, Delta Lake, Spark/PySpark, and cloud data platform engineering.
  • Strong understanding of Azure infrastructure, including ADLS Gen2, Synapse, Azure SQL, Azure Data Factory, Entra ID, service principals, managed identities, Key Vault, private endpoints, VNets, NSGs, and RBAC.
  • Experience integrating with or engineering around Collibra, Collibra EDGE, Purview, Alation, Informatica, or similar catalog/governance platforms.
  • Experience with metadata extraction from structured and semi-structured sources, including databases, data lakes, files, schemas, views, tables, columns, tags, and operational metadata.
  • Experience with cloud data platforms such as Azure, AWS, and/or Google Cloud Platform.
  • Working knowledge of legacy data platforms such as Oracle, SQL Server, DB2, Teradata, mainframe files, flat files, and SFTP/network-share based data stores.
  • Strong understanding of data governance concepts, including lineage, classification, ownership, stewardship, business glossary, data quality, and metadata lifecycle management.
  • Experience designing secure, scalable, supportable engineering solutions with CI/CD, Git, logging, monitoring, automated testing, and production support practices.
  • Ability to work across technical and non-technical stakeholders and translate complex metadata/platform topics into clear execution plans.
  • Strong understanding of Cloud Infrastructure and Architecture ad well a engineering and designing with AI assisted development models.

Nice To Haves

  • Graduate degree nice to have

Responsibilities

  • Leads the creation of comprehensive end-to-end detailed solutions for projects and platforms with overall accountability for the technical design and delivery of a specific technical solution based on requirements from stakeholders.
  • Develops and maintains technical solutions, ensuring adherence to engineering and architectural design principles while meeting business requirements.
  • Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.
  • Provides expert advice and lead in system / application administration, installation, configuration / provisioning, platform planning and design, integration and release / deployment management.
  • Lead the design, engineering, and delivery of enterprise metadata harvesting capabilities across cloud, multi-cloud, and legacy on-premises data platforms.
  • Ideate, design, build, and operationalize scalable metadata harvesting solutions that enable automated discovery, cataloging, lineage, classification, and governance of enterprise data assets.
  • Support the Data Discovery and Metadata Harvesting function by building reusable patterns and integrations that harvest structured and semi-structured metadata from various platforms.
  • Advance Collibra as the enterprise metadata system of record.
  • Partner closely with engineering, cloud infrastructure, architecture, security, governance, and data platform teams to ensure metadata is harvested, normalized, enriched, reconciled, and maintained in a trusted and audit-ready manner.
  • Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest.
  • Provides thought leadership and/or industry knowledge for quality engineering best practices and participates in knowledge transfer within the team and business unit.
  • Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques.
  • Participates in personal performance management and development activities, including cross training within own team.
  • Keeps others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
  • Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices.
  • Supports the team by providing guidance and proactively identifying and resolving issues.
  • Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships.
  • Contributes to a fair, positive and equitable environment that supports a diverse workforce.
  • Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally.

Benefits

  • base salary
  • variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan)
  • health and well-being benefits
  • savings and retirement programs
  • paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
  • banking benefits and discounts
  • career development
  • reward and recognition
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