Data Modeler
Job Summary
Job Description
Lab49 is looking for a skilled Data Modeler with expertise in building application data models for finance, CRM, and Master Data Management (MDM) to support large-scale programs. The role requires a strong understanding of financial services, corporate systems, and consulting. The ideal candidate will collaborate with cross-functional teams, including data architects, business analysts, and engineers, to design robust, scalable, and compliant data solutions. Responsibilities include developing conceptual, logical, and physical data models, documenting data lifecycles and metadata, translating requirements into optimal data structures, and defining data governance policies. The candidate will also design data models for structured and unstructured data across various databases and ensure compliance and data security.
Must have:
- 7+ years of experience in data modeling and MDM
- Hands-on expertise with data modeling tools (Erwin, Power Designer, ER/Studio)
- Strong proficiency in SQL, NoSQL, and cloud databases (Snowflake, Amazon Redshift, Big Query)
- Experience in financial services, capital markets, or consulting
- Deep understanding of data governance, metadata management, and regulatory compliance
- Proficiency with ETL frameworks, APIs, and real-time data integration
Good to have:
- Ability to implement models in cloud-based platforms/Databases (AWS, Azure, Snowflake etc)
- Contribute to data migration, integration, and reconciliation strategies
Perks:
- Exposure to various environments, business domains, technologies, and people
- Accelerated career growth
7 skills required
Job Details
Lab49 is seeking a highly skilled Data Modeler with expertise in building application data models covering multiple capability areas of business that include Finance, CRM and also Master Data Management (MDM) to support a large-scale Programmes.
This role requires a strong understanding of financial services, corporate systems and consulting environments. The ideal candidate will work closely with cross-functional teams, including data architects, business analysts, and engineers, to design robust, scalable, and compliant data solutions.
Key Responsibilities:
- Develop conceptual, logical, and physical data models to support enterprise-wide MDM initiatives.
- Develop end to end data lifecycle events flows, mapped to logical model and physical systems.
- Document and maintain data dictionaries, metadata, and entity relationships.
- Translate requirements into optimal data structures.
- Define and enforce data governance policies and standards.
- Design data models for structured and unstructured data across relational and NoSQL databases.
- Ensure compliance, data security, and integrity within data models.
- Ability to implement models in cloud-based platforms/Databases (AWS, Azure, Snowflake etc).
- Contribute to data migration, integration, and reconciliation strategies.
Required Skills & Experience:
- 7+ years of experience in data modeling and MDM.
- Hands-on expertise with data modeling tools (e.g., Erwin, Power Designer, ER/Studio).
- Strong proficiency in SQL, NoSQL, and cloud-based databases (Snowflake, Amazon Redshift, Big Query, etc.).
- Experience working in financial services, capital markets, or consulting environments.
- Deep understanding of data governance, metadata management, and regulatory compliance.
- Proficiency with ETL frameworks, APIs, and real-time data integration
Why Lab49?
Lab49 is an established partner for most financial institutions on Wall Street. You will gain exposure into a variety of environments, business domains, technologies, and people. Your ability to bring drive and creativity to the role will be the key component to success at Lab49. The broad and intense exposure to a variety of challenges accelerates your career growth, and Lab49’s structure is designed to enable you to learn and grow as an engineer and consultant.
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About The Company
We’re visionary innovators who are delivering mission-critical trading and workflow automation software to financial institutions, corporations, central banks, and governments. By combining our passion for automation with a strategic view on the industries we serve, we design solutions that improve decision-making, simplify complex processes, and empower people. Simply put, we help our customers do more, faster and better than before. We believe our investments in research and development are shaping the future of automation and enabling our customers to transform their business. And we embrace the power of community, working with each other and with our customers to succeed through a positive culture of continuous improvement.
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