Responsibilities
Define and own the architecture for Finance data platforms and datasets.
Design enterprise-grade transactional data models using MySQL and PostgreSQL.
Design scalable analytical data models using Hive, Spark, and data warehouse technologies.
Establish standards for fact, dimension, aggregate, historical, and reporting data structures.
Define table grain, primary keys, partitioning strategies, indexing, retention policies, and historical tracking approaches.
Design data contracts and integration patterns across Finance systems and downstream consumers.
Data Pipeline Architecture :
Architect and guide the implementation of ETL/ELT pipelines supporting Finance use cases.
Design scalable ingestion and processing patterns including batch, incremental, CDC, backfill, reconciliation, and recovery workflows.
Ensure reliability, scalability, observability, and maintainability of data pipelines.
Drive architecture decisions for performance optimization and cost efficiency.
Governance & Quality :
Establish data quality, lineage, metadata, ownership, and governance standards.
Define reconciliation frameworks and controls to ensure financial data accuracy and auditability.
Drive best practices for monitoring, validation, and operational excellence.
Partner with stakeholders to ensure compliance with financial reporting requirements.
Technical Leadership :
Provide architectural guidance and design reviews across Finance data initiatives.
Mentor engineers and data practitioners on modeling and architecture best practices.
Collaborate with Finance, Engineering, Analytics, and Operations teams to align business and technical goals.
Influence long-term data platform strategy and roadmap.
Requirements
Required Qualifications :
10+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or related fields.
Strong expertise in both transactional (OLTP) and analytical (OLAP) data modeling.
Deep hands-on experience with MySQL, PostgreSQL, Hive, and Spark.
Expert-level SQL skills and strong understanding of distributed data processing.
Experience designing large-scale ETL/ELT architectures and data platforms.
Strong understanding of CDC, incremental processing, reconciliation, data quality, and metadata management.
Experience working with Finance domains such as payments, settlements, accounting, ledgers, reconciliation, or financial reporting.
Proven ability to drive architecture decisions and work independently as a senior technical leader.
Experience with Spark SQL, PySpark, Hive SQL, Airflow, or similar orchestration frameworks.
Experience designing data architectures in fintech, payments, marketplace, mobility, or large-scale technology environments.
Exposure to data governance, cataloging, lineage, and observability platforms.
Experience supporting audit, compliance, and financial controls requirements.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
Skills Required
- 10+ years of experience in data architecture, data engineering, data warehousing, or related fields
- Strong expertise in transactional OLTP and analytical OLAP data modeling
- Deep hands-on experience with MySQL, PostgreSQL, Hive, and Spark
- Expert-level SQL skills and strong understanding of distributed data processing
- Experience designing large-scale ETL and ELT architectures and data platforms
- Strong understanding of CDC, incremental processing, reconciliation, data quality, and metadata management
- Experience with Finance domains such as payments, settlements, accounting, ledgers, reconciliation, or financial reporting
- Ability to drive architecture decisions and work independently as a senior technical leader
- Experience with Spark SQL, PySpark, Hive SQL, Airflow, or similar orchestration frameworks
- Experience designing data architectures in fintech, payments, marketplace, mobility, or large-scale technology environments
- Exposure to data governance, cataloging, lineage, and observability platforms
- Experience supporting audit, compliance, and financial controls requirements
What We Do
Prescience is a Danish SaaS company that provides collaborative supply-chain execution software for industrial businesses. Its platform helps customers and suppliers plan production, track manufacturing progress, monitor execution, manage capacity, improve quality assurance, collect as-built documentation, and coordinate inventory and inbound and outbound logistics. By integrating supplier data in real time, Prescience delivers visibility, risk detection, and operational control across dispersed global supply chains.
