Cloud Data Architect Lead

1 day ago

Mumbai, Maharashtra, India Cloud Counselage Pvt Ltd Full time

At Cloud Counselage Pvt Ltd, we are seeking a highly skilled and experienced Data Engineer Lead to join our team. This role offers a unique opportunity to lead and mentor a talented team of data engineers, drive the design and implementation of scalable data solutions, and play a key role in shaping our data infrastructure and strategy.

Job Overview

We are looking for an exceptional leader who can provide technical guidance and support to our data engineering team, fostering a collaborative and innovative environment focused on delivering high-quality solutions.

Responsibilities:
  • Team Leadership: Provide technical leadership and mentorship to a team of data engineers, ensuring they have the skills and knowledge needed to succeed in their roles.
  • Architectural Design: Lead the design and implementation of scalable, robust, and maintainable data architectures, ensuring alignment with business goals and future scalability requirements.
  • Data Pipeline Development: Oversee the development and optimization of ETL pipelines to extract, transform, and load data from diverse sources into data warehouses and other storage systems.
  • Data Modeling: Define and implement data models and schemas to support business requirements, optimizing for performance, flexibility, and scalability.
  • Data Governance and Quality: Establish and enforce data governance policies and best practices to ensure data quality, integrity, and security across all data assets.
  • Technological Innovation: Stay up-to-date with emerging technologies and trends in data engineering and analytics, evaluating their potential impact and leading initiatives to adopt relevant technologies.
  • Cross-Functional Collaboration: Collaborate closely with data scientists, analysts, and business stakeholders to understand data requirements, deliver actionable insights, and drive data-driven decision-making.
  • Performance Optimization: Monitor and optimize data pipelines, databases, and data processing systems for performance, scalability, and efficiency, identifying and addressing bottlenecks and optimization opportunities.
  • Documentation and Best Practices: Develop and maintain documentation, standards, and best practices for data engineering processes, ensuring knowledge sharing and maintainability.
  • Project Management: Lead data engineering projects from conception to completion, including project planning, resource allocation, and stakeholder communication.
Qualifications:
  • Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related field.
  • 7+ years of proven experience in a data engineering role, with demonstrated expertise in designing and implementing scalable data solutions.
  • Strong proficiency in programming languages such as Python, SQL, or Java, as well as experience with data manipulation and analysis tools (e.g., Pandas, Apache Spark).
  • Extensive experience with database technologies (e.g., SQL databases, NoSQL databases, data warehouses) and ETL frameworks.
  • Excellent leadership and communication skills, with the ability to inspire and mentor a team, collaborate effectively with cross-functional stakeholders, and influence technical decision-making.
  • Strong problem-solving and analytical abilities, with a focus on delivering practical, scalable solutions to complex data engineering challenges.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
Benefits and Salary

The salary for this role is estimated to be around $180,000 - $220,000 per year, depending on location and experience. In addition to a competitive salary, we offer a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.

Please note that this estimate may vary based on factors such as location and experience. We are committed to providing a fair and competitive compensation package to our employees.

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