We are seeking an experienced Data Architect to lead the design, development, and implementation of our data architecture, with a strong emphasis on data engineering pipelines, data lineage, data governance, and banking risk or regulatory reporting.
The ideal candidate will possess a deep understanding of data architecture principles and have hands-on experience in the financial services industry, particularly in risk management and regulatory compliance.
Key Responsibilities:
Data Architecture & Design
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Develop and implement a robust data architecture strategy that supports the organization’s data needs, focusing on scalability, security, and performance.
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Design and optimize data models, schemas, and data flow diagrams to meet business requirements, ensuring alignment with best practices in data engineering and architecture.
Data Engineering Pipelines
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Lead the design, development, and maintenance of data engineering pipelines to support ETL/ELT processes, data integration, and data transformation.
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Implement automated data pipelines using tools like Apache Airflow, Spark, Kafka, or similar technologies, ensuring data is processed efficiently and accurately.
Data Lineage & Governance
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Establish and maintain comprehensive data lineage tracking across all data assets, ensuring transparency and traceability from source to destination.
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Develop and enforce data governance policies, including data quality standards, metadata management, and access controls, to ensure data integrity and compliance.
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Collaborate with cross-functional teams to define and implement data stewardship practices.
Banking Risk & Regulatory Reporting
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Design data solutions that meet the stringent requirements of banking risk management, including credit risk, market risk, and operational risk.
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Ensure that the data architecture supports regulatory reporting requirements, such as Basel III/IV, CRR/CRD, and other relevant banking regulations.
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Work closely with risk management teams to understand their data needs and deliver solutions that enable accurate and timely reporting.
Collaboration & Leadership
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Collaborate with product and business teams to ensure alignment between data architecture and business objectives.
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Provide technical leadership and mentorship to junior data engineers and architects, fostering a culture of continuous learning and improvement.
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Stay up-to-date with industry trends, emerging technologies, and best practices in data architecture and financial services.
Qualifications:
Education
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Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.
Experience
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Extensive experience in data architecture, data engineering, or a related role, with a strong background in financial services.
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Proven experience in designing and implementing data engineering pipelines and data architectures at scale.
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Hands-on experience with data lineage tools (e.g., Apache Atlas, OpenLineage) and data governance frameworks.
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In-depth knowledge of banking risk management and regulatory reporting frameworks (e.g., Basel III/IV, CRR/CRD).
Technical Skills
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Proficiency in data engineering tools and technologies such as Apache Airflow, Spark, Kafka, Hadoop, or similar.
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Strong SQL skills and experience with relational and NoSQL databases.
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Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, BigQuery).
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Familiarity with data modeling tools and techniques, as well as metadata management solutions.
Soft Skills
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Excellent communication and collaboration skills, with the ability to work effectively across teams.
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Strong problem-solving skills and the ability to think strategically about data solutions.
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Leadership experience with a proven ability to mentor and develop talent.
Preferred Qualifications:
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Certification in data management or architecture (e.g., CDMP, TOGAF).
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Experience with machine learning and AI-driven data processing.
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Knowledge of additional financial regulations and reporting standards.
Wolters Kluwer Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wolters Kluwer and has not been reviewed or approved by Wolters Kluwer.
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Leave & Time Off Breadth — Time away benefits are positioned as broad, spanning vacation and sick time plus paid holidays and other covered leave types. Paid parental and caregiver leave, bereavement leave, and a volunteer day contribute to a more comprehensive time-off offering.
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Retirement Support — Retirement support is framed as meaningful through access to a 401(k)/retirement plan paired with company matching and additional contribution features in some descriptions. This is reinforced by mentions of profit sharing and other long-term savings-oriented programs.
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Parental & Family Support — Family-oriented support stands out through adoption assistance and paid parental leave provisions. These benefits are described alongside other caregiver supports that extend beyond basic leave categories.
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What We Do
Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services. Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide. Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).
