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- Lead the design, implementation, and optimization of scalable and standardized Big Data architectures.
- Drive data standardization efforts in alignment with regulatory requirements, consent orders, and enterprise data policies.
- Ensure data lineage, quality, and governance compliance across all critical data elements (CDEs).
- Collaborate with Risk, Compliance, and Regulatory teams to address consent order requirements related to data controls, reconciliation, and validation.
- Implement data quality frameworks, metadata management, and lineage tracking for improved data transparency and regulatory reporting.
- Optimize data ingestion, transformation, and processing pipelines using streaming and batch processing methodologies.
- Provide technical leadership to junior and mid-level engineers, fostering a culture of engineering excellence and regulatory adherence.
- 8+ years of experience in data engineering, Big Data platforms, and software development.- Experience with data governance, data standardization, and metadata management frameworks.
- Experience implementing data lineage and data quality monitoring solutions.- Familiarity with cloud-based data solutions (AWS, GCP, or Azure).
- Ability to translate complex regulatory requirements into actionable data strategies.
- Experience in Capital Markets, Risk, Finance, and Regulatory Reporting is a plus.
- Strong analytical and problem-solving skills with a compliance-driven mindset.
- Experience working with Consent Order Remediation Programs related to data management and governance.
- Expertise in Canonical Data Models and Data Mesh Architecture.- Strong technical documentation and communication skills for presenting data standardization strategies.
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