Work Location:
Mount Laurel, New Jersey, United States of America
Hours:
40
Pay Details:
$98,160 - $159,270 USD
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Line of Business:
Technology Solutions
Job Description:
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.
Depth & Scope:
- Expert knowledge of the business, the broader organization, technical environment, processes, procedures, tools and other relevant technology areas (e.g. Architecture, Infrastructure, Security etc.) from a design / support / solutions perspective
- Primary subject matter expert in multiple areas and consults with clients/or project teams with respect to all aspects of research, analysis, design, hardware / software support
- Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues
- Works independently and/or autonomously as a senior/ lead on a diverse range of tasks / operational support of solutions
Education & Experience:
- Undergraduate degree, Post Graduate degree or Technical Certificate
- Strong academic background (e.g., computer science, engineering)
- Graduate degree nice to have
- 5-7 years relevant experience
Desired Qualifications:
- 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.
Employee/Team Accountabilities:
- 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
Physical Requirements:
Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%
- Domestic Travel – Occasional
- International Travel – Never
- Performing sedentary work – Continuous
- Performing multiple tasks – Continuous
- Operating standard office equipment - Continuous
- Responding quickly to sounds – Occasional
- Sitting – Continuous
- Standing – Occasional
- Walking – Occasional
- Moving safely in confined spaces – Occasional
- Lifting/Carrying (under 25 lbs.) – Occasional
- Lifting/Carrying (over 25 lbs.) – Never
- Squatting – Occasional
- Bending – Occasional
- Kneeling – Never
- Crawling – Never
- Climbing – Never
- Reaching overhead – Never
- Reaching forward – Occasional
- Pushing – Never
- Pulling – Never
- Twisting – Never
- Concentrating for long periods of time – Continuous
- Applying common sense to deal with problems involving standardized situations – Continuous
- Reading, writing and comprehending instructions – Continuous
- Adding, subtracting, multiplying and dividing – Continuous
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.
