Senior Data modeler - (Architecture, Snowflake, DBT, Financial Services)

Title : Senior Data modeler - (Architecture, Snowflake, DBT, Financial Services)

Remote

Banking and financial domain experience is a must

10 years in Data Architecture and Data modeling

Responsibilities
Help team to implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies develop the conceptual/logical/physical data models.
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Hands-on in modelling and mappings between source system data model and Datawarehouse data models.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks with respect to modelling and mappings.

Qualifications we seek in you!
Minimum Qualifications
10+ years of experience in metadata management, data modelling, and related tools (Erwin or ER Studio or others). Overall 10+ Experience in IT.
Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional data platform technologies, and ETL and data ingestion ).
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Communication, and presentation skills.
Help team to implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies develop the conceptual/logical/physical data models
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Hands-on modeling in modelling and mappings between source system data model and Datawarehouse data models.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks wrt modelling and mappings.
Hands on experience in writing complex SQL queries.
Experience in Snowflake, DBT, GitLab, Hackolade.
Good to have experience in data modelling for NOSQL objects
Banking and finance domain experience, strongly preferred and demonstrated knowledge in financial services process/workflow

Preferred Qualifications/ Skills
Passionate about technology, problem solving, ability to adapt new skills, sharing expertise and knowledge.
Excellent client facing skills that include conducting compelling technical briefing & demonstrations. The person should have a technical curiosity to implement new technologies and articulate the solutions to the client

Thank you,

Shobana Prabhakar

Tech recruiter, Dizercorp.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Title : Senior Data modeler - (Architecture, Snowflake, DBT, Financial Services)

Remote

Banking and financial domain experience is a must

10 years in Data Architecture and Data modeling

Responsibilities
Help team to implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies develop the conceptual/logical/physical data models.
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Hands-on in modelling and mappings between source system data model and Datawarehouse data models.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks with respect to modelling and mappings.

Qualifications we seek in you!
Minimum Qualifications
10+ years of experience in metadata management, data modelling, and related tools (Erwin or ER Studio or others). Overall 10+ Experience in IT.
Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional data platform technologies, and ETL and data ingestion ).
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Communication, and presentation skills.
Help team to implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies develop the conceptual/logical/physical data models
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Hands-on modeling in modelling and mappings between source system data model and Datawarehouse data models.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks wrt modelling and mappings.
Hands on experience in writing complex SQL queries.
Experience in Snowflake, DBT, GitLab, Hackolade.
Good to have experience in data modelling for NOSQL objects
Banking and finance domain experience, strongly preferred and demonstrated knowledge in financial services process/workflow

Preferred Qualifications/ Skills
Passionate about technology, problem solving, ability to adapt new skills, sharing expertise and knowledge.
Excellent client facing skills that include conducting compelling technical briefing & demonstrations. The person should have a technical curiosity to implement new technologies and articulate the solutions to the client

Thank you,

Shobana Prabhakar

Tech recruiter, Dizercorp.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.