Remote Principal Data Engineer (WFH/Remote) - #34473

at Manila Recruitment

Posted 3 days ago 0 applied

Description:

  • As a Principal Data Engineer, you will lead the technical vision, architecture, and delivery of the next-generation GRC data platform.
  • You will work at the intersection of AI and cloud-native architecture to build custom data solutions that address critical user problems and help scale intelligent, secure, and resilient data systems across multiple global regions.
  • Your role will enable AI-driven insights, automate compliance workflows, and ensure the platform remains robust and audit-ready for regulated industries.
  • You will be responsible for identifying, analyzing, and conducting the client’s business requirements gap analysis through document analysis, interviews, workshops, and workflow analysis.
  • You will guide and support the Data Engineer team in executing projects involving technology upgrades and implementing optimizations.
  • You will define data architecture for scalability, performance, and cost-efficiency.
  • You will evaluate and implement new technologies that facilitate or simplify the end-to-end data lifecycle targeted for reporting and AI use cases.
  • You will document information gathered during data requirements workshops and prepare solution architecture documents.
  • You will partner with internal stakeholders, including heads of product, engineering, and customer success, to identify and streamline priorities.
  • You will act as a technical authority providing guidance on data modeling, schema design, metadata management, and governance.
  • You will mentor data engineers and help grow the technical capabilities of the data team.
  • You will promote best practices in ELT processes and the accompanying CI/CD and DevOps for data.
  • You will develop and maintain SQL queries using various tools, like DBT, Azure Synapse, and SQL Server, in line with business and customer requirements.
  • You will develop and maintain reports in various business intelligence (BI) platforms, including Yellowfin.
  • You will use project management methodologies to develop project plans and estimate required effort and resources.
  • You will work with the broader engineering and product team on troubleshooting, investigating, and remediating reporting bugs and issues.
  • You will analyze data and coordinate with stakeholders to evaluate inefficiencies in business processes.
  • You will implement enterprise data warehouse infrastructure and manage data pipelines feeding into analytics and advanced AI-powered analytics subsystems.

Requirements:

  • You must have at least 8 years of relevant work experience.
  • You should have prior experience in a principal, staff, or lead engineer role within high-growth SaaS or enterprise tech environments.
  • A strong understanding of data security, compliance, and multi-region cloud deployments is required.
  • Proven experience in designing and developing ETL pipelines using cloud-based technologies is necessary.
  • You should have experience integrating data from multiple sources, including SQL databases, Excel spreadsheets, and APIs.
  • Excellent communication and collaboration skills are essential, with the ability to effectively interact with stakeholders at all levels of the organization.
  • You must be detail-oriented with strong analytical and problem-solving skills.
  • Self-motivation and the ability to work independently as well as part of a team are required.
  • You should be able to relate to people, understand their needs, and align them with proposed solutions.

Benefits:

  • The position offers the opportunity to lead the development of innovative data solutions in a remote work environment.
  • You will have the chance to work with cutting-edge technologies in AI and cloud-native architecture.
  • The role provides a platform for professional growth and mentorship opportunities within the data engineering team.
  • You will collaborate with various internal stakeholders, enhancing your networking and collaboration skills.
  • The position allows for the development of skills in data architecture, compliance, and advanced analytics.
  • You will be part of a dynamic team focused on delivering impactful data solutions for regulated industries.