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Principal Data Engineer (WFH/Remote) - #34473 at Manila Recruitment. As a Principal Data Engineer, you will lead the technical vision, architecture, and delivery of their next-generation GRC data platform. You’ll work at the intersection of AI and cloud-native architecture for building custom data solutions that addresses 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.. Data Architecture and Engineering Leadership:. . Responsible for identifying, analysing, 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 appropriateDefine data architecture for scalability, performance and cost-efficiency. . Evaluate and implement new technologies that facilitates or simplifies 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 in 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.. . Analysing data and actively coordinating with stakeholders to evaluate the inefficiencies of business process 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. . 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, 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. . Must-have Skills / Qualification:. . At least 8 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 effectively interact with stakeholders at all levels of the organization.. . 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.. . Advantageous Skills: . . Azure & AWS cloud experience. . ML/AI experience. . Preferred candidate with master’s in data analytics or related field of study.. . Previous experience in GRC or GRC technologies is a plus.. . Company Location: Philippines.