Technical Data Architect - Finance

Company Description Sure Thing AB is a Swedish company providing effective, results-oriented services in Financial Services and senior IT consulting since 2020. The organization has strong expertise in banking, finance, and e-commerce, working closely with clients to deliver robust, data-driven solutions. Sure Thing AB is currently expanding into e-commerce product development, offering opportunities to shape new digital products and services. The company is also actively seeking mutually beneficial partnerships, creating an environment that values collaboration, innovation, and long-term growth for both clients and team members. Role Description The Data Architect – Finance is a full-time hybrid role based in Stockholm, with flexibility for part-time work from home. This role is responsible for designing and maintaining the data architecture and for financial and e-commerce domains, ensuring data structures support reporting, analytics, and regulatory requirements. This role requires ability to work hands-on together with the team of data engineers, technically leading the delivery. Day-to-day tasks include defining data models, establishing data governance standards, collaborating with engineering teams on ETL and data warehousing solutions, and optimizing data flows across systems. The Technical Data Architect – Finance will work closely with stakeholders in finance, risk, and product teams to translate business needs into scalable data designs and support strategic decision-making. The role also involves documenting data frameworks, guiding best practices, and contributing to continuous improvement of the data platform. Qualifications

• Candidates should possess strong skills in Data Architecture and Data Modeling, particularly in financial services and related domains.
• Candidates should possess skills in Data Governance, including establishing policies, standards, and controls for data quality, security, and compliance.
• Candidates should possess skills in Extract Transform Load (ETL) processes and Data Warehousing, including designing pipelines and optimizing data storage for analytics.
• Hands-on experience with relational and cloud-based databases, data integration tools, data pipeline platforms and technologies, BI/analytics platforms is required
• Some examples would be: Snowflake, DBT, Python, Tableau, Power BI, Confluent Kafka, BigQuery, DataBricks, Hadoop, Teradata,
• Strong analytical and problem-solving abilities, with the capacity to translate complex business requirements into technical data solutions.
• Effective communication and collaboration skills, with experience working across finance, IT, and product teams in a hybrid work environment.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience.
• Experience in banking, finance, or e-commerce data environments, including regulatory and risk data, is a significant advantage.