Original listing text, shown exactly as published by the company.
Qualifications
- Commitment to maintain client confidentiality and data security
- Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information
- Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives
- Ability to maintain regular, predictable attendance
- 7 or more years of Data Engineering experience in an oversight capacity
- Extensive domain-specific experience in the Financial Services industry
- Experience with Microsoft cloud-based technologies in a hybrid architecture
- RDBMS expertise with Microsoft SQL Server (on prem and Azure SQL): advanced T SQL, query design, execution plans, index strategies (clustered/non clustered, filtered, included columns), partitioning, statistics, and concurrency/isolation level
- Data modeling mastery: 3NF normalization, strategic denormalization for read models, star/snowflake schemas, surrogate vs. natural keys, referential integrity, and temporal tables for auditing/history
- Experience performing operational analysis on internal and external data and processes to uncover failure points and identify opportunities for improvement
- Experience designing and implementing API-oriented schemas for web and mobile application performance and optimization
- Holistic awareness of processes supporting data preparation, metadata, dependencies, lineages, compliance and workload management
- Understanding of meta-model and metadata management requirements
- Security and governance experience: RBAC, least privilege, secrets management, PII handling, encryption at rest/in transit, row level security, auditing, and compliance (e.g., SOC2, HIPAA, GDPR)
Specific skills include
o Extensive experience with Microsoft Fabric: pipelines, notebooks, Lakehouse/Warehouse concepts, and Medalion architecture
o Experience with Azure DevOps: CI/CD pipelines for AIS and Fabric assets
o ETL/ELT and data movement: SSIS/ADF/Azure Data Factory or modern pipelines (dbt, Airflow), CDC/change tracking, bulk load (BCP, BULK INSERT), and data quality checks Experience designing metadata-driven and reusable integration patterns
o Experience with API Management (APIM): API design, security (OAuth/JWT), policies, and versioning
o Experience in reverse-engineering, refactoring and migrating legacy applications
o Experience with Service Bus / Event Grid design patterns: asynchronous and event-driven integrations
o Experience with scripting languages such as: Python
o Experience with MDM concepts (golden record, survivorship, matching, data quality)
Job Responsibilities
- Design, implement and maintain a robust, efficient and compliant application data repository and integration architecture.
- Work with Business and IT stakeholders to assist with data-related technical issues and provide application support.
- Coordinate, direct and oversee the work of third-party engineers through solution design reviews, code reviews and process reviews.
- Identify, design, and implement internal process improvements like, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Research and analyze new technologies, methodologies and architectures for viability.
- Build and maintain a service-based architecture for web and mobile applications.
- Work independently within a scrum delivery team, with oversight from domain and enterprise architects, in support of business-critical applications.
- Contribute to the development of frameworks, guidelines, best practices and examples to ensure data structures and integration processes are accurate, compliant and secure.
- Implement telemetry indicators to monitor performance, quality metrics to track accuracy and access controls to ensure compliance.
