Chief Data Engineer

5 hours ago


Chennai, Tamil Nadu, India Cloud Destinations Full time

**Job Title:** Chief Data Engineer

**About the Role:** Cloud Destinations is seeking a highly skilled Chief Data Engineer to lead our data engineering team, driving the design, development, and maintenance of scalable data pipelines and architecture.

We are looking for a technical leader who can collaborate with cross-functional teams, including data science, analytics, software engineering, and business stakeholders, to ensure the delivery of high-quality data solutions that support business objectives. The ideal candidate will have experience in designing scalable and efficient data architectures, pipelines, and workflows.

Estimated Salary: $150,000 - $200,000 per year

About the Job Description:

  • Design and Maintain Overall Data Architecture Strategy: Collaborate with stakeholders to define the overall data architecture strategy, aligning with business goals and ensuring seamless integration of data across systems and platforms.
  • Technical Direction and Strategy: Own the product/component technical direction and strategy, driving tech initiatives and adoption of new technologies, working with the management team to allocate time and resources to the roadmap.
  • Lead Definition of Component Standards: Define component standards (code, design, consistency, language, framework) and validate them with engineering teams, collaborating closely with cross-functional teams to translate data needs into technical requirements.

About the Requirements:

This role requires a minimum of 10+ years of experience in data engineering, with at least 2-3 years in an architect role. The ideal candidate will have a strong understanding of database systems (e.g., SQL, NoSQL), data modeling techniques, and proficiency in programming languages such as Python, R, or Scala. Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their data services are also essential. Additionally, familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and expertise in data visualization tools (e.g., Tableau, Power BI) are highly desirable.



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