Chief Data Solutions Architect

21 hours ago

Kollam, Kerala, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Chief Data Solutions Architect

Job Description:

We are seeking an experienced and skilled Chief Data Solutions Architect to design, develop, and maintain scalable data pipelines and ETL processes that meet business needs. The successful candidate will collaborate with data engineers to integrate data solutions into machine learning models and workflows.

The ideal candidate will have 10+ years of experience as a data engineer or in a similar role and strong proficiency in SQL, Python, and other relevant programming languages. Hands-on experience with Databricks and its ecosystem is also essential.

In addition to the technical requirements, the candidate should be comfortable working with various SQL, NoSQL, and graph databases like PostgreSQL and MongoDB; knowledge of data integration tools; understanding of data modeling, data architecture, and database design; excellent problem-solving skills and attention to detail.

Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Collaborate with data engineers to integrate data solutions into machine learning models and workflows.
  • Work closely with clients to understand their data requirements and deliver tailored data solutions.
  • Ensure data quality, integrity, and security across all projects.
  • Optimize and manage data storage solutions in cloud environments (AWS, Azure, GCP).
  • Utilize Databricks for data processing and analytics tasks, leveraging its capabilities to enhance data workflows.
  • Monitor the performance of data pipelines, identify bottlenecks or failures, and implement improvements to enhance efficiency and reliability.
  • Implement best practices for data engineering, including documentation, testing, and version control.
  • Troubleshoot and resolve data-related issues in a timely manner.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • 10+ years of experience as a data engineer or in a similar role.
  • Strong proficiency in SQL, Python, and other relevant programming languages.
  • Hands-on experience with Databricks and its ecosystem.
  • Familiarity with major cloud environments (AWS, Azure, GCP) and their data services.
  • Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery.
  • Comfortable working with various SQL, NoSQL, and graph databases like PostgreSQL and MongoDB;
  • Knowledge of data integration tools.
  • Understanding of data modeling, data architecture, and database design.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Highly Desirable Skills:
  • Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with machine learning concepts and frameworks.
  • Experience working in a client-facing role.

Our company emphasizes teamwork, innovation, and knowledge sharing, and we encourage professional development through ongoing learning opportunities and certifications.

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