PTMA Financial Solutions · 18 hours ago
Senior Data Engineer – Data Platform
United States
Full-time
Remote
Senior Level, Lead/Staff
$160K/yr - $180K/yr
8+ years expPTMA Financial Solutions is seeking a Senior Data Engineer to operate their data platform in a regulated financial services environment. This role focuses on building, maintaining, and scaling a Microsoft Fabric-based data platform that supports analytics, reporting, and operational decision-making.
Financial Services
No H1B
Hiring Manager
Nicole Ynocencio
Responsibilities
Establish and maintain data engineering standards that ensure reliability, consistency, and audit readiness
Own data quality controls, validation processes, and reconciliation checks for critical financial datasets
Serve as the primary point of contact for cross-functional data initiatives, translating business requirements into prioritized technical solutions
Guide platform-related decisions and govern data project priorities
Own and operate the core Microsoft Fabric data platform for PTMA
Design and organize the OneLake unified data lake, configuring capacities, and overseeing Fabric components and their integration
Lead the design and implementation of enterprise data pipelines and ETL/ELT processes to ingest, transform, and load data from a variety of sources
Partner with security, legal, and compliance teams to support approved analytics and AI use cases in accordance with internal governance and regulatory requirements
Ensure the data platform supports compliance with financial industry regulations and standards such as SOC 2, including audit trails, access controls, and data retention practices
Provide technical guidance and mentorship to a small data team
Support day-to-day delivery, knowledge sharing, and technical decision-making while collaborating with leadership on delivery priorities and technical planning
Qualification
Required
Education & Experience: bachelor's or master's degree in computer science, Data Engineering, Information Systems, or a related field. 8+ years of experience in data engineering or data architecture
Technical Proficiency: Excellent SQL skills for data querying and performance tuning, and strong programming ability in Python for developing data pipelines and automation scripts. Deep understanding of relational databases, data modeling, and building data integration workflows
Cloud & Azure Expertise: Hands-on experience with Microsoft Azure data services and architecture. This should include familiarity with tools such as Azure Data Factory or Synapse Pipelines, Azure Data Lake Storage, Azure Synapse Analytics or SQL pools, and related Azure infrastructure
Governance & Security: Solid understanding of data governance and security best practices. Comfortable implementing data access controls, encryption, masking of sensitive data, and user permission models. Knowledge of compliance standards and frameworks like SOC 2 for managing data securely is required. You should be able to design systems and policies that protect sensitive data and ensure privacy in line with industry regulations
Preferred
Industry Experience: Prior experience in the financial services sector or another highly regulated industry is highly desirable. Familiarity with the compliance, security, and data privacy obligations in these environments will help you hit the ground running. Experience working with investment or portfolio data, trading systems, or client reporting in a wealth management context would be a plus
Business Intelligence & Analytics Tools: Experience with data visualization or BI tools, especially Microsoft Power BI. Understanding of how to create and manage Power BI datasets, reports, and dashboards, and how they connect to the underlying data models
Company
PTMA Financial Solutions
PTMA Financial Solutions provides treasury management, liquidity management, and other financial products and services to the public sector.
Denver, Colorado, US
201-500 employeesFunding
Current Stage
Growth StageCompany data provided by crunchbase