Data Architect
2 weeks ago
3Ci's Client is a specialized global commercial real estate loan services provider and partner for lenders seeking the infrastructure and capabilities needed to help them scale their business and make informed, effective decisions related to the deployment, management and administration of commercial real estate secured credit. Data-driven, collaborative and focused on commercial real estate, Our Client brings a distinctive mix of intelligent loan analysis, responsive communications, and unmatched administrative capabilities to clients seeking cost-effective solutions at scale. Founded in 1988 and headquartered in Atlanta, our Client's team of 400+ employees serve a global client base from offices in Atlanta, Dallas, Kansas City, London, New York and Sydney. The firm currently has 236B USD in loans under management and serves clients with assets in 72 countries.
Required Education and Experience
- Bachelor's degree in Computer Science, Information Systems, or a related field
- Proven experience as a Data Architect or similar role
- Familiarity with various operating systems, databases, and programming languages
- Strong understanding of data architecture principles
- Excellent problem-solving abilities and attention to detail
- Strong communication skills to effectively collaborate with various teams
- Ability to understand business requirements and translate them into technical solutions
- Proficiency in project management and software development methodologies
- Develop and lead data governance function
- Own and advance the data warehouse
- Manage a team of six data engineers and report writers
- Ensure compliance with data security requirements
- Collaborate with Operations to ensure data flows are properly configured
- Design and manage the data reporting platforms
- Develop and implement strategic data plans in alignment with company goals
- Design, create, and manage the organization's data architecture layout
- Create rules and procedures for data sharing
- Oversee the integration of data management technologies
- Assess system performance and make recommendations for improvements
- Secure database systems by developing policies, procedures, and controls
- Keep up-to-date with industry trends and developments
- Perform other tasks as required
- 90 days -Evaluate current state
- 180 days - Make recommendations for data architecture
- 1 year - Implement recommendations
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