Senior Data Architect

2 days ago

Mysore, Karnataka, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

We are seeking an experienced Senior Data Architect to join our dynamic team of consultants.

This role involves designing, developing and maintaining large-scale data processing systems that enable advanced analytics and business intelligence. You will work closely with data scientists, analysts, and other engineers to ensure the availability, reliability and efficiency of our Databricks solution.

Key Responsibilities

• Design and develop scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.

• Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.

• Optimize data architectures and workflows for performance, scalability and cost-efficiency.

• Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.

• Ensure data quality, integrity and security by implementing best practices in data governance and management.

• Develop and maintain documentation for data systems, including data models, flow diagrams, and operational procedures.

• Mentor and guide junior data engineers, providing technical leadership and support.

• Stay current with emerging technologies and trends in data engineering, and apply them to improve existing systems.

The ideal candidate should have a Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or a related field. At least 5 years of experience in data engineering or related fields, with a focus on large-scale data systems is required. Proficiency in SQL and experience with databases such as MySQL, PostgreSQL or NoSQL databases is essential. Strong programming skills in languages such as Python, Java or Scala are also required. Experience with ETL tools and frameworks and data pipeline orchestration is highly desirable.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure) is a must. A strong understanding of data warehousing concepts, data modeling and schema design is also essential. Excellent problem-solving skills and attention to detail are required. The ability to work effectively in a team-oriented environment is crucial.

About Us

We are an equal opportunity employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability or veteran status.

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