Excited to grow your career?
Our purpose is to make it easy for people to save and invest for a better future. We are looking for great people to join us, so please come and invest in YOUR future at Hargreaves Lansdown.
We know that sometimes people can be put off applying for a job if they don't tick every box. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. We’d love to hear from you!
About the role
The Enterprise Data Architect is responsible for defining the strategic direction of HL's data architecture. This role ensures that the data architecture aligns with business objectives, regulatory requirements, and industry data management best practices, such as DAMA.
This position involves defining the development and implementation of data architecture frameworks, standards, and policies to support data governance, quality, and security. It is essential for promoting a data-centric culture and enabling data-driven decision-making across HL.
- Data Architecture: Designing, developing, and maintaining enterprise data architecture. Ensuring that the data architecture aligns with business goals, objectives and initiatives to drive value.
- Data Strategy and Governance: Developing and implementing a comprehensive enterprise data strategy. This includes establishing long-termroadmaps, policies, procedures, and standards for data management, ensuring data quality, privacy, and security, and aligning data initiativeswith business objectives.
- Collaboration and Colleague Engagement: Acting as a liaison between different business units, IT / digital teams, and executive and seniorleadership. Collaborating with key stakeholders to understand their data needs, prioritise initiatives, and ensure alignment with HL goals.
- Regulatory Compliance and Risk Management: Ensuring compliance with relevant laws and regulations. Establishing data governanceframeworks, implementing controls for data protection, and monitoring data usage to mitigate risks associated with data breaches andregulatory non-compliance.
- Innovation and Digital Transformation: Driving innovation by leveraging data and new technologies such as AI and machine learning.Spearheading transformation initiatives that use data analytics to create new business models, enhance journeys, products or services, andimprove client engagement.
- Data Quality and Transparency: Implementing data quality initiatives to ensure trusted data for decision-making. Driving data architecturepractices such as cataloging, glossary, and lineage to ensure traceability and transparency of data.
- Data Modelling Best Practice Methodologies: Ensure flexibility and scalability by designing data models that can adapt to changing businessneeds and accommodate future growth.
- Research data acquisition opportunities: commissioning and managing the delivery of work from external partners where required.
- Optimise existing data systems to improve performance: continuous focus on opportunities to reduce costs, and support faster decision-making.
- Data Modelling: Proficiency in creating conceptual, logical, physical and semantic data models. Withexperience using tools like ERwin, PowerDesigner.
- Database Management: Experience with SQL and NOSQL databases, understanding the principles of data warehousing and operational data and experience with ETL/ELTprocesses.
- Cloud Platforms: Knowledge of cloud services with a preference as AWS, forcloud services.
- Data Integration: Expertise in ETL (Extract, Transform, Load), streaming and other integration processes and tools.
- Data Governance: Understanding of data governance frameworks, data quality, and data security measures.
- Programming Languages: Proficiency in languages such as Python and R.
- Problem-Solving: Ability to analyse complex data requirements and translate them into effective data architectures.
- Critical Thinking: Evaluating data solutions and making decisions that align with business goals.
- Data Analysis: Proficiency in data mining, predictive modelling, and using tools like Power BI, Sigma Analytics for data visualisation and Sagemaker for Machine Learning.
Strategic and Soft Skills
- Communication/ stakeholder management skills: Strong ability to communicate technical concepts and advise to non-technical stakeholders and collaborate with various teams.
- Leadership: Experience in leading data architecture projects and mentoring junior team members. Managing/leading data architecture, transformation, cloud services and connectivity.
- Project Management: Skills in managing data projects, including planning, execution, and monitoring Experience
- Hands-on expertise with data warehousing and management, including data processing, integration, and advanced analytics (e.g., Snowflake, Amazon Redshift, Databricks, Cloudera, Oracle).
- Experience managing a portfolio of technical programmes within an established Enterprise Data office/management function.
- Technical understanding of modern data architectures, tools, and platforms.
The interview process for this role is three stages including a technical competency-based questions and a task.
This role is based in Bristol head office, BS1 5HL. This role is permanent, full time, 37.5 hours per week, Monday to Friday. We have returned to the office, however for this role we offer hybrid and remote working patterns.
Why us?
Here at HL, we’re the UK’s number 1 investment platform for private investors, based in Bristol. For more than 40 years we’ve helped investors save time, tax and money on their investments.
To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos. We're steered by core values that promote service, quality, innovation, and opportunity in everything we do.
What's on offer?
- Discretionary annual bonus*and annual pay review
- 25 days* holiday plus bank holidays and 1-day additional Christmas closure
- Option to purchase an additional 5 days holiday**
- Flexible working options available, including hybrid working
- Enhanced parental leave
- Pension scheme up to 11% employer contribution
- Income Protection and Life insurance (4 x salary core level of cover)
- Private medical insurance*
- Health care cash plans - including optical, dental, and outpatient care
- Health screening programme
- Help@hand- confidential support including mental health counselling and remote GP
- Wellhub - unlimited access to fitness providers and wellness coach sessions
- Variety of travel to work schemes with bike storage and shower facilities
- Inhouse barista and deli serving subsidised coffee and sandwiches
- Two paid volunteering days per year
* dependant on role level
** only available to select during our annual benefits window, in November each year
Hargreaves Lansdown is an inclusive employer that values diversity in its workforce. We encourage applications from all individuals without regard to race, religion, gender, sexual orientation, national origin, disability or age.
This role may also be available on a flexible working or part time basis – please ask the Recruitment & Onboarding team for more information.
Please note, we are unable to provide employment sponsorship to candidates.
