Principal Data Architect

3 weeks ago

Bangalore, India Freshworks Full time
Job Title: Principal Data Engineer

We are seeking a highly skilled Principal Data Engineer to lead our efforts in building enterprise-scale data platforms. This role demands a deep understanding of the data engineering landscape and expertise in shaping the future of our data ecosystem.



Responsibilities:

  • Design and develop new enterprise data platforms with a microservices architecture, abstracting platform and infrastructure intricacies.
  • Collaborate with cloud and security architects to ensure seamless alignment within our technology strategy.
  • 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.


Requirements:

  • 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): AWS - Redshift, S3, Data Pipeline, Glue, EMR, Athena + Python and SQL; Azure - Azure Data Factory (ADF), Azure Databricks, Synapse Analytics, Datalake Storage + Python and SQL.
  • 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.
  • Nice to have: Experience with Data Mesh architecture, Experience building Semantic layers for data platforms, Experience building scalable IoT architectures.


We are looking for a highly skilled Principal Data Engineer to join our team and lead our efforts in building enterprise-scale data platforms. If you have the required skills and experience, please apply for this exciting opportunity.

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