Overview
Remote
Full Time
Skills
Banking
Advanced Analytics
Innovation
Decision-making
Continuous Improvement
Cloud Computing
Finance
Customer Intelligence
Analytics
Workflow
Data Profiling
Management
Computer Science
Data Engineering
Data Modeling
Data Architecture
SQL
Python
Normalization
Dimensional Modeling
Data Warehouse
JSON
ERwin
ER/Studio
Retail Banking
Credit Cards
Regulatory Compliance
Communication
Documentation
Collaboration
Google Cloud Platform
Google Cloud
Data Governance
Meta-data Management
DICE
Job Details
Be Part of a Dynamic Data-Driven Team
This opportunity is with a leading organization in the banking sector, driving digital transformation through modern data architecture and advanced analytics. The team champions innovation and collaboration, working across enterprise data domains to enable smarter, faster decision-making. The environment emphasizes high-quality data delivery, compliance, and continuous improvement through cutting-edge technologies like Google Cloud Platform and BigQuery.
What's In Store for You
How You Will Make an Impact
Are You a Proven Data Modeling Professional?
Here's what you'll need to bring to the table:
Preferred Qualifications:
#dice
This opportunity is with a leading organization in the banking sector, driving digital transformation through modern data architecture and advanced analytics. The team champions innovation and collaboration, working across enterprise data domains to enable smarter, faster decision-making. The environment emphasizes high-quality data delivery, compliance, and continuous improvement through cutting-edge technologies like Google Cloud Platform and BigQuery.
What's In Store for You
- 100% remote opportunity in a data-first organization.
- Work with a skilled team of engineers and architects advancing cloud-based analytics in retail banking.
- Gain hands-on experience with modern data tools and frameworks, building solutions that directly support financial insights and customer intelligence initiatives.
How You Will Make an Impact
- Design and implement scalable relational and dimensional data models for enterprise analytics.
- Build optimized data models to streamline data ingestion and transformation workflows.
- Collaborate with engineers and stakeholders to design efficient, compliant, and well-documented data solutions.
- Conduct data profiling and ensure governance, lineage, and quality across enterprise data assets.
- Manage structured and semi-structured data formats, including JSON and complex nested types.
- Support product managers in designing data products that deliver actionable insights.
Are You a Proven Data Modeling Professional?
Here's what you'll need to bring to the table:
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
- 5+ years of experience in data modeling, data architecture, or data governance.
- Advanced expertise in Google Cloud Platform, BigQuery, SQL, and Python.
- Strong understanding of normalization, dimensional modeling, and data warehousing.
- Experience handling structured and semi-structured data (JSON, Structs).
- Familiarity with ERwin, Wherescape, or ER/Studio.
- Knowledge of retail banking or credit card data domains and compliance standards.
- Excellent communication, documentation, and collaboration skills.
Preferred Qualifications:
- Google Cloud Platform Professional Data Engineer or Architect certification
- Knowledge of data governance frameworks and metadata management
- Familiarity with data mesh principles
#dice
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.