Principal Data Engineer (Remote, Day Shift)

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Master's degree in Data Analytics or related field., 15+ years of relevant experience in data engineering or leadership roles., Strong expertise in designing ETL pipelines and cloud-based data solutions., Experience with data security, compliance, and multi-region cloud deployments..

Key responsibilities:

  • Lead the design and implementation of scalable data architecture for AI and reporting.
  • Guide and mentor the data engineering team, ensuring best practices and technical growth.
  • Collaborate with cross-functional teams to develop data solutions that support AI/ML initiatives.
  • Manage data pipelines, optimize data processes, and ensure data quality and security.

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Career Connect (Philippines) Hrtech: Human Resources + Technology Startup https://careerconnect.ph
11 - 50 Employees
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Job description

This is a remote position.

JOB OVERVIEW

We are looking for a Principal Data Engineer to lead the technical vision, architecture, and delivery of our next-generation GRC data platform. You’ll work at the intersection of AI and cloud-native architecture for building custom data solutions that address user critical problems and help us scale intelligent, secure, and resilient data systems across multiple global regions.

You will play a key role in enabling AI-driven insights, automating compliance workflows, and ensuring our platform remains robust and audit-ready for regulated industries.



KEY RESPONSIBILITIES


Data Architecture & Engineering Leadership:

  • Responsible for identifying, analyzing, and conducting the client's business requirements gap analysis and processes through document analysis, interviews, workshops, and workflow analysis.

  • Guide and support the Data Engineer in the team for executing on projects involving technology upgrade and implementing optimizations wherever appropriate.

  • Define data architecture for scalability, performance and cost-efficiency

  • Evaluate and implement new technologies that facilitate or simplify the end-to-end data lifecycle targeted for reporting and AI use cases

  • Documenting the information gathered during the data requirements workshop and preparing the solution architecture documents.

  • Partnering with internal stakeholders that includes heads of product, engineering and customer success to identify and streamline priorities and execute it with the team for delivering data processes and products.

  • Act as a technical authority providing guidance on data modelling, schema design, metadata management and governance

  • Mentor data engineers on the team and help grow the technical capabilities of the data team

  • Promote best practices in the ELT processes and the accompanying CI/CD and DevOps for data

  • Developing and maintaining SQL queries using various tools like DBT, Azure Synapse, SQL server, etc. in line with business and customer requirements.

  • Developing and maintaining reports on various Business Intelligence (BI) platforms, including Yellowfin, in line with business and customer requirements.

  • Using project management methodologies, principles and techniques, developing project plans and estimate the required effort (cost) and resources

  • Working with the broader engineering and product team and other stakeholders on troubleshooting, investigating, and remediating reporting bugs and issues.

  • Analyzing data and actively coordinating with stakeholders to evaluate the inefficiencies of business processes and to ensure that they are accurately updated to eliminate any potential issues.

  • Implementing enterprise data warehouse infrastructure and managing the data pipelines feeding into analytics and advanced AI-powered analytics subsystems


AI/ML Enablement:

  • Design ML-ready data systems that feed into the 6Clicks AI system, including feature stores, training pipelines and inference-serving infrastructure.

  • Collaborate with the AI engineering, core engineering and product teams to operationalize models that facilitate automation in the GRC processes

  • Partner with product, Artificial Intelligence/Machine Learning (AI/ML), and platform teams to deliver data solutions that directly power client-facing features

  • Set technical direction and best practices for the data engineering functions that drive AI/ML functionalities

  • Evaluate emerging technologies and lead critical platform upgrades or migrations that will accelerate AI/ML feature development



Requirements
  • Preferred candidate with Master’s in Data Analytics or related field of study.

  • Minimum 12-15 years of relevant work experience.

  • Prior experience in a principal, staff or lead engineer role within high-growth SaaS or enterprise tech environments

  • Strong understanding of data security, compliance, and multi-region cloud deployments

  • Proven experience in designing and developing ETL pipelines using cloud-based technologies.

  • Experience integrating data from multiple sources, including SQL databases, Excel spreadsheets, and APIs.

  • Excellent communication and collaboration skills, with the ability to interact with stakeholders at all levels of the organization effectively.

  • Detail-oriented with strong analytical and problem-solving skills.

  • Self-motivated and able to work independently as well as part of a team. Ability to relate to people, understand their needs and align it with proposed solutions.

  • Previous experience in Governance, Risk & Compliance (GRC) or GRC technologies is a plus.



Benefits
  • 100% Remote Work Setup – Enjoy the flexibility to work from anywhere.
  • Complete Government-Mandated Benefits – Including SSS, PhilHealth, Pag-IBIG, and more.
  • HMO Coverage Upon Hiring – With 1 dependent included at no additional cost.
  • Company-Issued Equipment – All the tools you need to work efficiently, delivered to you.
  • Clear Career Growth Path – Opportunities for upskilling, promotions, and long-term development.



Salary:

180K Max

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Hrtech: Human Resources + Technology
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Governance
  • Collaboration
  • Communication
  • Analytical Skills
  • Teamwork
  • Self-Motivation
  • Problem Solving

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