Senior data Modeller

Position:Senior data Modeller

Location:Chicago, Illinois

ALL VISA APPLY (EXCEPT OPT, CPT and H1B)

Onsite position

Main Skills: Senior Data Modeler, Erwin, Python and Strong SQL, Financial/Banking domain exp.

***NOTE: Client is not looking for a Data Architect, Primarily they are looking for a Senior Data Modeler with Strong SQL and Python Exp.

 Technical Skills: Data Modeling, SQL, Python, Informatica

Job Description:

Senior Data Modeler

Build Data Architecture/Data Models for a Cybersecurity team which focuses on leveraging log data and leveraging this data as part of a broad Common Information Model which will be leveraged across the Enterprise.

Responsibilities:

Defines, creates, and enhances data models for operational and reporting needs for specific domains.

Understands and collaborates with lines of business to map business processes to data models.

Defines and analyzes data requirements.

Design logical and physical data structures that support the requirements.

Ensures adherence to the enterprise data movement, quality, and accountability standards in technology.

Conducts data driven analyses of usage of detailed data elements across the business domain to provide optimal data provisioning patterns across the application space.

Responsible for independently conducting quantitative analytics.

Assists in development of new models, analytic processes, and system approaches.

Assists in performing current state data architecture and tooling assessment across all data domains supported by control functions.

Design conceptual structures and plans to meet the current and future state data requirements.

Develop and maintain the strategic business data model.

Analyze and align with other business models.

Define and maintain the blueprint for managing data assets. Map relationships between data, process, business, system, and technology.

Assists in establishing capabilities framework for varies data tools.

Required Skills:

10 years of experience in IT.

5-10 years experience in relational and dimensional data modeling as well as metadata build and management.

Hands on expertise in relational and NOSQL database systems. Strong SQL and Python skills a must.

Thorough understanding of real time, batch, and event-based data provisioning.

Hands on experience in ETL and API based data provisioning patterns.

Needs to be a skilled communicator with tools like Vision, PowerPoint, and be able to quickly put together

Strong Excel skills experience working with large amounts of data, conducting analysis and present findings

3 years of experience as a data architect in a complex data environment (Preferred not Mandatory)

3 years domain knowledge of the data domains supported by control functions(Finance, Regulatory Reporting, Compliance, Operational Risk, HR, Legal, Marketing, Audit, etc.) and experience in financial service industry.

3 experience with architecture and design of large scale shared data solutions with multiple stakeholders.

Hands-on design and implementation experience with one/more of the following data tools:

Data Analysis / Profiling - Python (Jupyterlab, PyCharm,etc), Toad, MySQL

Data Platforms - Hadoop, Spark, Oracle, Exadata, SQL Server, DB2, MongoDB, Teradata, Splunk

Data Transformation - Informatica, SSIS, Alteryx, Trifacta

BI - Tableau, Microstrategy, metadata/lineage tools, Distributed Caching tools.

Strong knowledge of database modeling principles, techniques, and enterprise data management best practices.

Familiar with Data Governance process - identify critical data elements, metadata, data lineage, data dictionary, data model, Data Sharing Agreements, Service Level Agreements, Data Management Standards.

1-3 years experience with Data Quality measurements/Scorecards, Control, Remediation along with Data reconciliation techniques.

Able to independently architect solutions, lead code reviews and ensure quality throughout the life of each project.

Experience working as part of the Agile team and using Agile SDLS tools

Demonstrate strong communication, analytical and organizational skills and strong presentation skills.

Desired Skills:

Experience working with large amounts of data, conducting analysis and presenting findings.

Knowledgeable in Audit and regulatory concerns.

Experience with next generation tools and technologies is a plus (AI/ML, RPA, Trino, etc.)

A bachelors and/or masters degree in computer science or related field

Proficiency using the Data Vault methodology for modeling

Familiarity with ServiceNow Common Services Data Model (CSDM)