Principal Data Architect
1 month ago
We are seeking a highly skilled and experienced Principal Data Engineer to lead our data engineering efforts and build enterprise-scale data platforms.
Key Responsibilities:- Design and develop new data platforms, collaborating with cloud and security architects to ensure seamless alignment with our technology strategy.
- Architect and design core components with a microservices architecture, abstracting platform and infrastructure intricacies.
- Create and maintain essential data platform SDKs and libraries, adhering to industry best practices.
- Design and develop connector frameworks and modern connectors to source data from disparate systems both on-prem and cloud.
- Design and optimize data storage, processing, and querying performance for large-scale datasets using industry best practices while keeping costs in check.
- Architect and design the best security patterns and practices.
- Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
- Collaborate with data scientists, analysts, and cross-functional teams to design data models, database schemas, and data storage solutions.
- Design and develop advanced analytics and machine learning capabilities on the data platform.
- Design and develop observability and data governance frameworks and practices.
- Stay up to date with the latest data engineering trends, technologies, and best practices.
- Drive the deployment and release cycles, ensuring a robust and scalable platform.
- 15+ years of proven experience in modern cloud data engineering, broader data landscape experience, and solid software engineering experience.
- Prior experience architecting and building successful enterprise-scale data platforms in a greenfield environment is a must.
- Proficiency in building end-to-end data platforms and data services in Cloud Platforms (AWS or Azure).
- Experience with Microservices architectures - Kubernetes, Docker, and Cloud Run.
- Experience building Symantec layers.
- Proficiency in architecting and designing and development experience with batch and real-time streaming infrastructure and workloads.
- Solid experience with architecting and implementing metadata management, including data catalogues, data lineage, data quality, and data observability for big data workflows.
- Hands-on experience with Cloud ecosystem (AWS, Azure) and data lakehouse architectures.
- Strong understanding of data modeling, data architecture, and data governance principles.
- Excellent experience with DataOps principles and test automation.
- Excellent experience with observability tooling: Grafana, Datadog.
- Experience with Data Mesh architecture.
- Experience building Semantic layers for data platforms.
- Experience building scalable IoT architectures.
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Bangalore, India Lowe's India Full timeAbout Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in...
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