Data Architect Position

11 hours ago

Jamnagar, Gujarat, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Architect Job Description

We are seeking a highly skilled data architect with extensive hands-on experience in managing distributed search systems, as well as expertise in in-memory databases and graph databases.

The ideal candidate will have a deep understanding of data and index shard management, schema planning, and data modelling for distributed systems. Additionally, the candidate must be proficient in DevOps tools and have experience managing critical production systems that directly impact revenue.

This role is responsible for designing and implementing advanced-level database architectures, ensuring high availability and performance of our systems. The successful candidate will be able to optimize data distribution, sharding, caching, and graph traversals for efficient query performance.

Key Responsibilities:

  • Design and implement advanced-level database architectures for high availability and performance.
  • Optimize data distribution, sharding, caching, and graph traversals for efficient query performance.
  • Ensure security and compliance with encryption and access controls.
  • Collaborate with development and DevOps teams for application integration.
  • Stay updated on advancements in relevant database technologies.

Requirements and Skills:

  • Education: B-Tech / MCA
  • Experience: Overall 5 - 10 Years
    • 5+ years managing distributed search systems in production.
    • 2+ years managing in-memory databases or graph databases.
    • Proven track record with critical production systems impacting revenue.
    • Expertise in data and index shard management, caching strategies, and node-relationship modelling.

Technical Skills:

  • Proficient in AWS services (e.g., OpenSearch Service, EC2, ElastiCache).
  • Advanced knowledge of Elasticsearch/OpenSearch APIs, query DSL, and optimization.
  • Experience with in-memory databases (e.g., Redis) or graph databases (e.g., Neo4j Cypher).
  • Skilled in DevOps tools:
  • IaC: Terraform, CloudFormation
  • Configuration: Ansible, Chef, Puppet
  • CI/CD: Jenkins, GitLab CI, GitHub Actions
  • Containerization: Docker, Kubernetes
  • Monitoring: Prometheus, Grafana, ELK Stack

Soft Skills:

  • Strong problem-solving and analytical skills for distributed systems.
  • Quick learner, adaptable to new tools and processes.
  • Excellent communication and collaboration skills.

Certifications (Preferred):

  • AWS Certified Solutions Architect, AWS Certified Database – Specialty, or Elastic Certified Engineer.
  • Neo4j Certified Professional or Redis-related certifications.

Good-to-Have:

  • Experience with other AWS databases (e.g., RDS, DynamoDB).
  • Knowledge of big data tools (e.g., Hadoop, Spark).

Responsibilities of the Job Include:

  • Serve as primary POC for advanced-level troubleshooting and perform hands-on DB/system administration.
  • Automate regular administrative tasks and ensure correctness.
  • Document data standards, procedures, and dictionary definitions.
  • Collaborate with SREs and developers on DB design, performance tuning, and production support.
  • Help evolve application/database architecture and support environment creation.

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