OtB Tech LLC ยท 7 hours ago
Data Modeler
Berkeley Heights, NJ
Contract
Onsite
Senior Level, Lead/Staff
15+ years expOtB Tech LLC is seeking a Senior Data Modeler to deliver a world-class data architecture that establishes robust data governance. The role involves designing data assets for operational data stores and data warehouses, facilitating data modeling sessions, and ensuring compliance with industry standards.
Information Technology & Services
Hiring Manager
Varun Reddy
Responsibilities
An expert to deliver a world class data architecture to an enterprise that establishes robust data governance and enforces best practices, policies, and procedures across the entire data landscape on cloud or premises
15+ years of experience in designing data assets for extremely performant Operational Data Stores and near real time Data Warehouses. Well versed with industry standard Kimball and Inmon practices
Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise. At least 15 years hands on experience with Data Modeling tool such as Erwin. Data Modeling experience in financial industry is highly preferred
Drive reuse of data and data models at all levels and establish standards to enforce and preserve single version of truth across the data landscape
Solid communication skills and be able to facilitate / lead Data Modeling sessions with partners including Business, IT (engineers and developers), BI (Business Intelligence), System of Record (SOR) SMEs etc. to assess business requirements and deliver design prototypes and models
Experience in event streaming and event-based data warehousing methodologies
Experience in modern data design methodologies such as DDD (Domain Driven Design), Microservices Based Architecture, Bounded Contexts, and Data Mesh building data warehouses for agility, scalability, and autonomy
10+ years of data analysis and profiling experience in financial services development, including account, card, payment, or digital processing
Expert SQL development, analysis, design, and performance skills in database technologies such as MongoDB and Oracle EXADATA to build highly performant physical data models
Expert hands-on development, and performance tuning experience in Snowflake including writing pipelines, coding stored procedures, and establishing data share
Well versed in Power Point and be able to design complex dashboards in Power BI
Expert in Excel and Splunk with experience in writing complex macros to expedite data analysis
Experience in reverse/forward engineering analysis for complex data flows and be able to develop source-to-target and process mappings
Strong scripting experience in Python to create alerts and monitoring, build ingestion and interfaces to move data between systems and automate data governance
Experience in building and maintaining an evergreen Data Catalogue for an enterprise with robust metadata and end to end lineage. Experience with Alation, Collibra etc. is nice to have
Experience in tools such as Matillion, SnapLogic, or DBT is nice to have to be able to build data pipelines for on cloud / on premises databases such as Snowflake
Experience with industry reference frameworks such as BIAN (Banking Industry Architecture Network), IBM Banking & Financial Markets Model, ISO20022 is a plus
Qualification
Required
15+ years of experience in designing data assets for extremely performant Operational Data Stores and near real time Data Warehouses
Well versed with industry standard Kimball and Inmon practices
Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise
At least 15 years hands on experience with Data Modeling tool such as Erwin
Drive reuse of data and data models at all levels and establish standards to enforce and preserve single version of truth across the data landscape
Solid communication skills and be able to facilitate / lead Data Modeling sessions with partners including Business, IT (engineers and developers), BI (Business Intelligence), System of Record (SOR) SMEs etc
Experience in event streaming and event-based data warehousing methodologies
Experience in modern data design methodologies such as DDD (Domain Driven Design), Microservices Based Architecture, Bounded Contexts, and Data Mesh building data warehouses for agility, scalability, and autonomy
10+ years of data analysis and profiling experience in financial services development, including account, card, payment, or digital processing
Expert SQL development, analysis, design, and performance skills in database technologies such as MongoDB and Oracle EXADATA
Expert hands-on development, and performance tuning experience in Snowflake including writing pipelines, coding stored procedures, and establishing data share
Well versed in Power Point and be able to design complex dashboards in Power BI
Expert in Excel and Splunk with experience in writing complex macros to expedite data analysis
Experience in reverse/forward engineering analysis for complex data flows and be able to develop source-to-target and process mappings
Strong scripting experience in Python to create alerts and monitoring, build ingestion and interfaces to move data between systems and automate data governance
Experience in building and maintaining an evergreen Data Catalogue for an enterprise with robust metadata and end to end lineage
Preferred
Data Modeling experience in financial industry is highly preferred
Experience with Alation, Collibra etc. is nice to have
Experience in tools such as Matillion, SnapLogic, or DBT is nice to have to be able to build data pipelines for on cloud / on premises databases such as Snowflake
Experience with industry reference frameworks such as BIAN (Banking Industry Architecture Network), IBM Banking & Financial Markets Model, ISO20022 is a plus
Functional knowledge of the Financial Services industry with experience promoting a robust risk & control environment is preferred
Be able to coach, train, and mentor junior staff
Company
OtB Tech LLC
OtB Tech LLC is a leading staffing firm that provides customized workforce solutions to businesses of all sizes.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase