Data Architect
Data Architect
Posted on :
22-10-2024
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Job Description
Hi Fulltime
Greetings from Conch Technolgoies Inc
Title: Data Architect
Location: Coral Springs FL (5 Days Onsite)
Fulltime
Experience:
- 10 years of experience as a data architect and expert in data modeling and database design.
- Experience in strategizing design and integrating different data bases
- Data Management work experience in the environments where different data bases coexist and integrate with each other
- 5 years of experience working with any of the core banking systemsTransformation/Upgrade data migrations (e.g. Temenos Oracle FLEXCUBE Finacle FIS).
- Experience with any one of the cloudbased data architectures and platforms (AWS Azure GCP).
- Strong background in data governance data quality and data security in a banking environment.
- Experience with ETL (Extract Transform Load) processes and tools (Informatica Talend etc.).
Technical Expertise:
- Expertise in database technologies DB2 and PostgreSQL
- Strong proficiency in data modeling tools
- Experience with big data technologies such as Hadoop Spark and Kafka.
- Knowledge of data warehousing and business intelligence tools (e.g. Power BI Tableau).
- Familiarity with API integration and data interchange formats (e.g. XML JSON).
- Strong understanding of regulatory and compliance frameworks in banking (e.g. PCIDSS GDPR KYC AML).
Soft Skills:
- Strong communication skills with the ability to explain complex data concepts to both technical and nontechnical stakeholders.
- Excellent problemsolving and analytical skills.
- Collaborative mindset and ability to work in crossfunctional teams.
Key Responsibilities:
- Data Architecture Design: Develop and maintain the overall data architecture for core banking systems ensuring scalability efficiency and alignment with the organizations business goals.
- Data Modeling: Design and implement logical and physical data models for core banking applications including customer data transactions accounts payments and regulatory reporting.
- Data Integration: Lead the integration of data across core banking systems and external platforms ensuring data consistency quality and accessibility for realtime and batch processing.
- Data Strategy: Define and implement the data strategy for core banking including data governance data lifecycle management and data retention policies.
- Data Quality & Governance: Establish and maintain data governance frameworks and ensure data quality management processes are in place. Work closely with data stewards to monitor data accuracy completeness and consistency.
- Data Security & Compliance: Implement data security measures ensuring compliance with industry standards (e.g. PCIDSS GDPR) and regulatory requirements for banking data.
- Collaboration: Work closely with software developers business analysts and system architects to design data structures that support core banking processes and workflows.
- Cloud & Big Data Integration: Lead the migration and integration of data systems to cloud environments (AWS Azure GCP) and implement big data solutions as needed for advanced analytics and reporting.
- Data Reporting & Analytics: Support the development of reports and dashboards by ensuring the availability and integrity of data for business intelligence and decisionmaking processes.
- Performance Optimization: Monitor and optimize data systems for performance ensuring efficient data retrieval and processing across core banking operations.
- Data Migration: Oversee data migration initiatives for core banking modernization projects ensuring smooth transitions from legacy systems to modern platforms.
- Documentation: Create and maintain comprehensive documentation for data architectures models governance policies and security protocols.
Employment Type
Full Time
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