Objective of the Role
Leads the design, development, and optimization of advanced data solutions, ensuring scalability, reliability, and alignment with business objectives. This role plays a critical part in defining data architectures, mentoring team members, and driving the adoption of best practices throughout the data engineering lifecycle. With a strong focus on performance, security, and governance, ensures that data solutions contribute to a data-driven culture and deliver measurable business value.
Main Responsibilities
• Lead the design and implementation of robust and scalable data pipelines, enabling efficient ingestion, processing, and storage of structured, semi-structured, and unstructured data.
• Collaborate with cross-functional teams to gather requirements, define technical solutions, and align data architectures with business needs.
• Develop and optimize data models using industry-standard techniques to support analytics, reporting, and AI-driven solutions.
• Implement advanced data processing workflows, including batch, microbatch, near real-time,
and realtime pipelines, to ensure seamless data availability and performance.
• Drive the adoption of data governance and privacy strategies, ensuring compliance with security and regulatory requirements throughout the data lifecycle.
• Design and maintain data architectures, contributing to the scalability and reliability of data lakes, warehouses, and real-time streaming platforms.
• Develop monitoring processes and data quality metrics to ensure the reliability, integrity, and completeness of data used for decision-making.
• Actively contribute to all phases of the data engineering lifecycle, adhering to Agile methodologies and ensuring timely delivery of high-quality solutions.
• Mentor and guide junior and mid-level engineers, fostering a collaborative and inclusive team environment.
• Maintain and document data architectures, processes, and technical workflows to ensure continuity and knowledge s
📌 Sr Data Engineer (México)
🏢 Spin
📍 México