Data Systems Architect

3 days ago

Bengaluru, Karnataka, India beBeeCloud Full time US$ 1,50,000 - US$ 2,00,000
DevOps Architect

This role offers the opportunity to work with a fast-growing company that has made it onto the Inc. 5000 list. As an AI-based SRE professional, you will have the chance to design and deploy large-scale data-intensive solutions using Spark, Delta Lake, and Airflow schedulers.

Key Responsibilities:

  • Collaborate with customers and technical consultants to design and recommend big data architecture solutions tailored to customer requirements.
  • Analyze complex distributed production environments and provide actionable recommendations for performance optimization.
  • Develop and present detailed architectural documentation for customers' technical teams.
  • Partner with our Development, DevOps, and project teams to ensure the successful execution of projects.
  • Design and implement distributed systems and configurations for Spark, Delta Lake, Hadoop, and related technologies, particularly in cloud-based deployments.
  • Produce and maintain comprehensive technical documentation and user manuals for customers.
  • Stay current with the latest advancements in the distributed big data ecosystem and cloud technologies.

Required Skills and Qualifications:

  • 8+ years of experience in DevOps, with a focus on architecting large-scale storage, data processing, and globally distributed solutions.
  • Strong experience designing and optimizing data queries within Spark/Delta Lake environments, using tools such as Apache Hive, HDFS, Apache Spark, and Hadoop.
  • Experience with the installation, administration, and tuning of cloud-agnostic and distributed data systems.
  • Extensive experience implementing solutions across cloud platforms (Azure, AWS, GCP).
  • Hands-on experience implementing big data use cases and a solid understanding of standard design patterns for Spark/distributed systems, including Airflow, NiFi, Kafka, and others.
  • Significant experience working with network-based APIs, ideally REST/JSON or XML/SOAP.
  • Skills:
  • Strong understanding of enterprise security solutions such as LDAP, Kerberos, and SSL implementation.
  • Expertise in networking, troubleshooting, and optimizing data transfer across systems.
  • Proficient in Python and Java development, including debugging and profiling.
  • Solid background in database administration and design; experience with data modeling is a plus.
  • Excellent verbal and written communication skills.
  • Familiarity with R and machine learning algorithms is an advantage.

Benefits:

  • Competitive Salary
  • Flexibility: Work in Hybrid mode and flexible working hours
  • Get social: When we work from home, we play from home with fun after-work activities like Friday Socials.
  • Flat organization: With a very strong entrepreneurial culture.
  • Support network: Work with a team you can learn from every day.
  • Diversity: We pride ourselves on our international working environment.

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