Senior Data Architect

21 hours ago

Bhubaneshwar, Odisha, India beBeeData Full time US$ 1,04,000 - US$ 1,30,878
Job Role

We are seeking a highly skilled and experienced Senior Data Architect to design, develop and optimize scalable data pipelines ensuring the availability performance and reliability of our data systems. The ideal candidate will have a deep understanding of data architecture ETL processes and cloud technologies with the ability to lead complex projects and mentor junior team members.

  • Key Responsibilities:
  • Design and implement robust scalable and efficient data architectures to support business analytics and decision-making.
  • Develop test and maintain ETL/ELT workflows using modern tools and technologies.
  • Ensure data quality consistency and reliability across all pipelines and systems.

Role Expectations:

1. Data Infrastructure Design and Development:

  • Build and optimize data infrastructure for large-scale distributed systems.
  • Develop data models and schemas to support analytical and operational reporting.
  • Design strategies for data warehousing and data lake integration.

2. Technology and Tools Management:

  • Leverage cloud platforms to build and manage scalable solutions.
  • Work with big data technologies such as Hadoop Spark Kafka or similar tools.
  • Manage relational and NoSQL databases.

3. Collaboration and Mentorship:

  • Collaborate with data scientists analysts and software engineers to meet organizational goals.
  • Mentor and guide junior engineers promoting best practices in coding architecture and data management.
  • Partner with stakeholders to translate business requirements into technical solutions.

4. Performance Optimization and Security:

  • Monitor and improve data pipeline performance addressing bottlenecks and inefficiencies.
  • Implement security best practices to ensure the safety and privacy of data.
  • Automate routine processes to reduce manual intervention and operational overhead.

Required Skills and Qualifications:

  • Education: Bachelors or Masters degree in Computer Science Data Engineering or a related field.
  • Experience:
  • 3-8 years of experience in data engineering or related roles.
  • Proven expertise in designing and building large-scale data architectures.
  • Technical Skills:
  • Proficiency in programming languages like Python Java or Scala.
  • Advanced SQL skills for complex queries and performance tuning.
  • Hands-on experience with cloud platforms AWS Azure GCP.
  • Experience with big data tools such as Spark Hadoop Kafka.
  • Knowledge of containerization and orchestration tools.
  • Soft Skills:
  • Strong problem-solving abilities and attention to detail.
  • Excellent communication and collaboration skills.
  • Ability to lead projects and work independently in a fast-paced environment.

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