Senior Data Architect

22 hours ago

Hyderabad, Telangana, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Job Summary">

Sonatype is the software supply chain security company. We provide end-to-end software supply chain security solutions, combining proactive protection against malicious open source and enterprise-grade SBOM management.

This empowers enterprises to create secure, quality, and innovative software at scale.

We empower innovation with a commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development.

The Opportunity

As a Senior Data Engineer, you will play a key role in designing and scaling infrastructure and pipelines that power analytics, dashboards, machine learning, and decision-making across the organization.

You will be responsible for architecting and optimizing data models and storage solutions for analytics and operational use.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes.
  • Architect and optimize data models and storage solutions for analytics and operational use.
  • Create business intelligence reports and dashboards using Looker Studio or similar tools.
  • Collaborate with data scientists, analysts, and stakeholders to ensure datasets are reliable and actionable.
  • Own and evolve parts of our data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake).
  • Write complex SQL queries to support reporting and analytics needs.
  • Implement observability, alerting, and data quality monitoring for critical pipelines.
  • Drive best practices in data engineering and business intelligence.

Requirements

  • 5+ years of experience as a Data Engineer or in a hybrid data/reporting role.
  • Strong programming skills in Python, Java, or Scala.
  • Proficiency with data tools such as Databricks, data modeling techniques, and data warehousing solutions.
  • Hands-on experience with modern data platforms and orchestration tools.
  • Proficient in SQL with experience writing and optimizing complex queries.
  • Experience with BI tools such as Looker Studio, Power BI, or Tableau.
  • Experience building and maintaining robust ETL/ELT pipelines in production.

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