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
-
Develop and implement a robust data architecture strategy that supports the organization’s data needs, focusing on scalability, security, and performance.
-
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
-
Lead the design, development, and maintenance of data engineering pipelines to support ETL/ELT processes, data integration, and data transformation.
-
Implement automated data pipelines using tools like Apache Airflow, Spark, Kafka, or similar technologies, ensuring data is processed efficiently and accurately.
Data Lineage & Governance
-
Establish and maintain comprehensive data lineage tracking across all data assets, ensuring transparency and traceability from source to destination.
-
Develop and enforce data governance policies, including data quality standards, metadata management, and access controls, to ensure data integrity and compliance.
-
Collaborate with cross-functional teams to define and implement data stewardship practices.
Banking Risk & Regulatory Reporting
-
Design data solutions that meet the stringent requirements of banking risk management, including credit risk, market risk, and operational risk.
-
Ensure that the data architecture supports regulatory reporting requirements, such as Basel III/IV, CRR/CRD, and other relevant banking regulations.
-
Work closely with risk management teams to understand their data needs and deliver solutions that enable accurate and timely reporting.
Collaboration & Leadership
-
Collaborate with product and business teams to ensure alignment between data architecture and business objectives.
-
Provide technical leadership and mentorship to junior data engineers and architects, fostering a culture of continuous learning and improvement.
-
Stay up-to-date with industry trends, emerging technologies, and best practices in data architecture and financial services.
Qualifications:
Education
-
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.
Experience
-
Extensive experience in data architecture, data engineering, or a related role, with a strong background in financial services.
-
Proven experience in designing and implementing data engineering pipelines and data architectures at scale.
-
Hands-on experience with data lineage tools (e.g., Apache Atlas, OpenLineage) and data governance frameworks.
-
In-depth knowledge of banking risk management and regulatory reporting frameworks (e.g., Basel III/IV, CRR/CRD).
Technical Skills
-
Proficiency in data engineering tools and technologies such as Apache Airflow, Spark, Kafka, Hadoop, or similar.
-
Strong SQL skills and experience with relational and NoSQL databases.
-
Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, BigQuery).
-
Familiarity with data modeling tools and techniques, as well as metadata management solutions.
Soft Skills
-
Excellent communication and collaboration skills, with the ability to work effectively across teams.
-
Strong problem-solving skills and the ability to think strategically about data solutions.
-
Leadership experience with a proven ability to mentor and develop talent.
Preferred Qualifications:
-
Certification in data management or architecture (e.g., CDMP, TOGAF).
-
Experience with machine learning and AI-driven data processing.
-
Knowledge of additional financial regulations and reporting standards.
