Talantix.io
Caseware•10.03.26
AI SCORE 8.5

Senior Principal Software Engineer - AI-Ready Data Platform

$140K–$180K/year
RemoteFinTech
AWS•Data Architecture•AI Integration•MongoDB•DynamoDB•ETL•Data Governance•Python•Java•Data Engineering

About the Role

We are looking for a Senior Principal Software Engineer to join our team at Caseware. This fully remote position is based in Colombia and offers an exciting opportunity to lead the architecture of our AI-Ready Data Platform. With over 30 years in the FinTech industry, Caseware is a pioneer in audit and accounting software, serving more than 500,000 users across 130 countries. As a Senior Principal Software Engineer, you will play a crucial role in defining the enterprise data architecture that supports our cloud offerings and enables AI capabilities.

What You'll Do

  • Lead the technical strategy for a scalable AI-Ready data platform, ensuring data usability for AI use cases and interoperability.
  • Create and evolve reference architectures, modeling standards, and best practices for our foundational data platform.
  • Oversee key platform projects, contributing to AI-Ready data platform initiatives and cross-product data architecture improvements.
  • Mentor and guide teams in delivering projects while fostering a culture of high standards in data engineering practices.
  • Collaborate with R&D groups to implement best practices for making data AI-Ready and securely interoperable.
  • Work with Security and product teams to define data classification, retention, and access controls for AI-Ready datasets.
  • Provide reference implementations and blueprints to facilitate the production of data products.
  • Define and implement standards for data quality, lineage, and traceability to ensure data products are reliable and audit-ready.

Requirements

  • 10+ years of experience in software development and data engineering, with at least 5 years in a senior technical leadership role.
  • Deep experience designing modern data platforms on cloud-native infrastructure (AWS preferred).
  • Demonstrated experience architecting data for AI workflows in production.
  • Hands-on experience with core data technologies such as MongoDB, Amazon DocumentDB, MS SQL Server, and DynamoDB.
  • Proficiency in AWS data platform services including S3, Athena, Glue Catalog, and EMR.
  • Strong technical leadership skills with experience mentoring teams and influencing technical direction.
  • Excellent communication skills in English to engage with cross-functional teams.

Nice to Have

  • Familiarity with AI platform integration and orchestration patterns.
  • Experience with event streaming and queueing technologies like Kafka or Pub/Sub.
  • Knowledge of emerging technologies like Aurora PostgreSQL and LLM proxy layers.

What We Offer

  • Competitive compensation above the market average.
  • 100% remote work environment with an excellent work-life balance.
  • Opportunity to work for a growing global SaaS leader company.
  • A culture that promotes independence, innovation, trust, and accountability.
  • Mentorship by highly experienced professionals.
  • Budget for training and personal growth.
  • 5 Personal Time Off days per year.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to lead the architecture of an AI-Ready Data Platform at a pioneering FinTech company. Enjoy competitive compensation and a fully remote work environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Extensive hands-on experience with AWS services like Lambda, S3, and Redshift, combined with a deep understanding of data architecture principles to design scalable AI-Ready Data Platforms.

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Proven expertise in data governance and ETL processes, with a strong ability to implement best practices for data quality and compliance in a fully remote environment, ensuring effective communication and collaboration.

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Strong programming skills in Python and Java, accompanied by a mindset for continuous learning and adaptation to new technologies, particularly in integrating AI solutions with existing data frameworks.

Learning Resources

→AWS Data Engineering Learning Pathguide
→Building Data Warehouses on AWScourse
→MongoDB Documentationarticle

Career Path

Senior Principal Software Engineer - AI-Ready Data Platform(Now)→Engineering Director - Data Solutions(1-2 years)→Chief Technology Officer (CTO)(3-5 years)

Market Overview

AWS Market Size 2024
$156B
Annual Growth (AWS)
22.5%
AI Adoption in Data Platforms
60%
Investment in AI-Driven Data Solutions
+45%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$145K

Skills & Requirements

Required
AWSData ArchitectureAI Integration
Growing in Demand
KubernetesApache KafkaServerless Architecture
Declining
HadoopSQL Server

Domain Trends

Rise of Serverless Architectures
Serverless computing is gaining traction, with a projected growth rate of 30% annually as organizations seek to reduce infrastructure management overhead.
Increased Focus on Data Governance
Data governance frameworks are becoming essential, with 75% of enterprises prioritizing compliance and data quality in their data strategies.
Integration of AI in ETL Processes
AI-driven ETL tools are expected to grow by 50% in adoption, enhancing data transformation and loading efficiency for businesses.

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