Senior Data Modeler/Architect – Corporate Tax 360 Analytics

Catalyic Security; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Catalyic Security is seeking an experienced Data Modeler/Architect to lead the design and implementation of a Corporate Tax 360 Data Analytics solution. The role demands 10+ years of hands-on experience in data modeling, architecture, and analytics, with exposure to financial services or public sector environments.

The ideal candidate will demonstrate expertise with open-source platforms to build scalable data solutions, implement governance and security, and mentor junior team members while

Qualifications

• 10+ years of hands-on experience in data modeling, architecture, and analytics.
• Background in financial services, tax domains, or public sector data experience is a plus.
• Expertise in open-source data platforms and cloud-based solutions.
• Proficiency in SQL, Python, or R for data manipulation and analytics.
• Strong understanding of ETL/ELT, data warehousing, and dimensional modeling.
• Excellent communication skills to translate tax requirements into technical solutions.

Responsibilities

• Design and implement enterprise data models for corporate tax analytics, ensuring alignment with business requirements.
• Develop and optimize data architectures for large-scale tax data processing, reporting, and predictive analytics.
• Collaborate with cross-functional teams (Tax, Finance, IT) to integrate data from multiple sources into a unified analytics platform.
• Evaluate and recommend open-source technologies (e.g., Apache Spark, Kafka, PostgreSQL, Python/R) for data processing and storage.
• Ensure data governance, security, and compliance with regulatory standards (e.g., tax laws, GDPR).
• Mentor junior team members and provide technical leadership in data strategy.

Skills

Data modeling

Data architecture

Analytics

SQL

Python/R

ETL/ELT

Communication

Tools

Hadoop

Spark

Airflow

Elasticsearch

PostgreSQL

Job description

We are seeking an experiencedData Modeler/Architectto join our technical team and lead the design and implementation of aCorporate Tax 360 Data Analyticssolution. The ideal candidate will have10+ years of experiencein data modeling, architecture, and analytics, with exposure to thefinancial industry or public sector. Strong expertise inopen-source platformsis essential to drive scalable and efficient data solutions.

Key Responsibilities:

• Design and implemententerprise data modelsfor corporate tax analytics, ensuring alignment with business requirements.
• Develop and optimizedata architecturesfor large-scale tax data processing, reporting, and predictive analytics.
• Collaborate with cross-functional teams (Tax, Finance, IT) to integrate data from multiple sources into a unified analytics platform.
• Evaluate and recommendopen-source technologies(e.g., Apache Spark, Kafka, PostgreSQL, Python/R) for data processing and storage.
• Ensure data governance, security, and compliance with regulatory standards (e.g., tax laws, GDPR).
• Mentor junior team members and provide technical leadership in data strategy.

Required Qualifications:

• 10+ yearsof hands-on experience indata modeling, architecture, and analytics.
• Background infinancial services, tax domains, or public sector(government/regulatory data experience is a plus).
• Expertise inopen-source data platforms(e.g., Hadoop, Spark, Airflow, Elasticsearch) and cloud-based solutions.
• Proficiency in SQL, Python, or R for data manipulation and analytics.
• Strong understanding ofETL/ELT processes, data warehousing, and dimensional modeling.
• Excellent communication skills to translate business tax requirements into technical solutions.

Preferred Qualifications:

• Experience withtax-specific data systems(e.g., SAP Tax, Vertex) or regulatory reporting.
• Knowledge ofAI/ML applicationsin tax analytics (fraud detection, predictive modeling).