Data Technology Lead
Role overview
We're looking for a Data Technology Lead to shape and deliver reliable, scalable data solutions that support business operations and decision-making. You'll lead the design and implementation of data platforms, integrations, and data models, working closely with engineering, analytics, governance, and business teams.
The role will focus on building trusted data products from complex sources, including master data and client portfolio information. You'll set technical direction, promote sound data practices, and help a team deliver secure, maintainable solutions.
Key responsibilities
- Lead the design and delivery of data architectures, pipelines, integrations, and curated datasets.
- Develop and maintain high-quality SQL transformations, views, and data models across multiple source systems.
- Guide the use of cloud data services, including AWS Glue and relevant data catalog and query technologies.
- Ensure data is accurate, consistent, traceable, and fit for use through validation, monitoring, and reconciliation.
- Establish and promote standards for data modeling, engineering, documentation, testing, and deployment.
- Work with data governance and business stakeholders to define data ownership, definitions, lineage, and quality expectations.
- Oversee the integration of master data with operational data, including client and contract or portfolio records.
- Identify and address performance, reliability, security, and scalability challenges in data solutions.
- Mentor data engineers and other technical team members; provide hands-on guidance and constructive design reviews.
- Translate business needs into technical roadmaps, delivery plans, and clear trade-offs.
- Communicate progress, risks, and recommendations to both technical and non-technical stakeholders.
Required qualifications
- Significant experience in data engineering, data architecture, or a related technology role, including technical leadership.
- Strong SQL skills and experience designing data transformations and reusable data structures.
- Expertise in building and operating cloud-based data solutions; AWS experience is required.
- Expertise in data integration, data warehousing or lakehouse concepts, and metadata or catalog services.
- Demonstrated ability to improve data quality, reliability, and performance in production environments.
- Experience working with master data, reference data, or complex entity relationships.
- Strong communication and stakeholder-management skills, with the ability to explain technical decisions clearly.
- A practical approach to delivery, balancing architectural quality with business needs and timelines.
Preferred qualifications
- Experience with AWS and data query technologies that support views or materialized views.
- Familiarity with Tableau and other reporting tools.
- Familiarity with data governance, lineage, privacy, and access-control practices.
- Experience with CI/CD, automated data testing, orchestration, and infrastructure as code.
- Background in financial services, client data, portfolio data, or another regulated data environment.
- Relevant degree or equivalent professional experience.