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Principal Data Engineer
Remote / Online - Candidates ideally in
Yonkers, Westchester County, New York, 10701, USA
Listed on 2026-08-16
Yonkers, Westchester County, New York, 10701, USA
Listing for:
Fabric
Remote/Work from Home
position Listed on 2026-08-16
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing, Data Science Manager
Job Description & How to Apply Below
About Company
Aays Analytics is a fast-growing data and analytics consulting company specializing in cloud data engineering, advanced analytics, and AI-driven solutions. We help organizations modernize their data platforms and transform business operations through scalable cloud technologies on Azure and Google Cloud Platform (GCP). Our team partners with global clients to design and deliver innovative data solutions that enable better business decisions and accelerate digital transformation.
Role& Responsibilities
- Design and implement end-to-end data engineering and analytics solutions on Azure and Google Cloud Platform (GCP).
- Build scalable data pipelines, data warehouses, and cloud-native data platforms using Big Query, Dataflow, Python, and SQL
. - Design conceptual, logical, and physical data models for enterprise analytics and machine learning solutions.
- Lead architecture design, technology selection, and cloud infrastructure planning for data platforms.
- Collaborate with business stakeholders, product teams, and consultants to translate business requirements into technical solutions.
- Ensure best practices in data architecture, governance, scalability, security, and performance optimization.
- Mentor engineering teams and conduct architecture reviews to maintain high technical standards.
- Support client engagements, proof of concepts (PoCs), and technical pre-sales activities.
- Evaluate emerging cloud technologies and recommend solutions that improve efficiency and innovation.
- Azure
- Google Cloud Platform (GCP)
- Big Query
- Python
- SQL
- Data Modeling
- Data Architecture
- Data Engineering
- ETL/ELT
- Data Warehousing
- Experience designing enterprise-scale data architectures.
- Experience leading technical teams or mentoring Data Engineers.
- Hands-on experience building cloud-native data platforms.
- Apache Spark
- Dataflow
- Apache Kafka
- Terraform
- Vertex AI
- Data Mesh
- Cloud Storage
- Event-Driven Architecture
- Data Governance
- Metadata Management
- Work on enterprise-scale cloud and AI transformation projects.
- Collaborate directly with founders and senior leadership.
- Fully remote work environment.
- Exposure to modern cloud technologies including Azure, GCP, Big Query, and Vertex AI.
- Opportunity to shape the organization's data strategy and architecture.
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