Enterprise Data Architect

5 days ago

Pune, Maharashtra, India beBeeData Full time ₹ 2,20,00,000 - ₹ 2,60,00,000

Job Title: Enterprise Data Architect

Overview:

This role requires a highly skilled and experienced Enterprise Data Architect to design, develop and maintain scalable data infrastructure components. The successful candidate will work in a collaborative Agile environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle.

Key Responsibilities:

  • Design, develop, and maintain efficient data infrastructure components, including data pipelines, storage solutions, and data processing frameworks.
  • Build and manage integrations with various internal and external data sources via ETL solutions.
  • Design, implement, and maintain CI/CD pipelines using DevOps tools like Terraform and GitHub Actions for automated build, test, and deployment processes.
  • Enforce best practices around software engineering architecture and processes, including code reviews and unit testing.
  • Collaborate with team members on researching and brainstorming different solutions for technical challenges faced.
  • Continually improve data pipelines for high efficiency, throughput, and quality of data.
  • Investigate production issues and fine-tune data pipelines.
  • Build and promote best engineering practices in areas of version control systems, CI/CD, code review, pair programming.
  • Identify, design, and implement internal process improvements, including automating manual processes and optimizing data delivery.
  • Stay up-to-date with the latest technologies and industry trends, and proactively recommend improvements to the data platform.
Requirements:
  • 4+ years of experience in data engineering, building, working, and maintaining scalable data infrastructure (data pipelines and ETL processes on big data environments).
  • 2+ years of experience with Cloud columnar databases (Snowflake).
  • Proven experience as a CI/CD Engineer or DevOps Engineer, with a focus on data platforms and analytics (Terraform, Docker, GitHub Actions).
  • Experience with Cloud Platform (AWS, Google Cloud).
  • Proficiency in query authoring (SQL) and data processing (batch and streaming).
  • Intermediate experience with any of the programming languages: Python, Go, Java, Scala, primarily using Python.
  • Experience with ETL schedulers such as Apache Airflow, AWS Glue, or similar frameworks.
  • Developer skills, demonstrating a strong passion for designing scalable and fault-tolerant software systems.
  • Integration with 3rd party API SaaS applications, like Salesforce and Zuora.
  • Ensure data integrity and accuracy by conducting regular data audits, identifying and resolving data quality issues, and implementing data governance best practices.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions, with strong documentation skills for pipeline design and data flow diagrams.
Preferred Qualifications:
  • Extensive experience with Snowflake or similar cloud warehouses (Bigquery, Redshift).
  • Familiarity with infrastructure as code principles and tools (e.g., Terraform, CloudFormation, GitHub Actions).
  • Experience with version control systems (e.g., Git) and CI/CD best practices for software development to bring automation.
  • Expert knowledge in Python.
  • Familiarity with Airflow, Fivetran, Hightouch.

What Our Data Stack Looks Like:

  • ELT (Fivetran, Bigquery, Snowflake, dbt, Airflow).
  • BI (Tableau, Looker).
  • Infrastructure (GCP, AWS, Kubernetes, Terraform, GitHub Actions).

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