Job Application

Key Responsibilities:

Strategic Leadership:

Develop and implement a strategic vision for the data engineering practice aligned with the company's goals and objectives.

Drive the adoption of best practices in data engineering and ensure alignment with industry trends and emerging technologies.

Collaborate with senior leadership and other departments to integrate data engineering solutions into broader business strategies.

Team Management:

Lead, mentor, and grow a high-performing team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.

Oversee the recruitment, development, and performance management of data engineering talent.

Data Architecture & Engineering:

Design and implement scalable data architectures, ensuring data integration, quality, and security.

Oversee the development and optimization of data pipelines, ETL processes, and data storage solutions.

Ensure the effective use of data engineering tools, technologies, and frameworks.

Project Management:

Manage and prioritize multiple data engineering projects, ensuring timely and successful delivery.

Coordinate with project managers, data scientists, and other stakeholders to align project goals and deliverables.

Governance & Compliance:

Establish and enforce data governance policies and practices to ensure data integrity, security, and compliance with relevant regulations.

Monitor data quality metrics and implement strategies to address data issues.

Innovation & Continuous Improvement:

Stay abreast of industry trends, emerging technologies, and best practices in data engineering.

Drive continuous improvement initiatives to enhance data engineering processes and methodologies.

Qualifications: