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You will be updated with latest job alerts via email5years
180 - 180
1 Vacancy
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 clients 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
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
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.
Education
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 databas
Full Time