Senior Data Engineer

Job Title : Senior Data Engineering Lead (Databricks)

📌 Next Step :

If this role excites you and matches your expertise, kindly fill out the Google Form with the required details so we can reach out to you and make the process seamless :

https : / / forms.gle / Z6qWwcGUHf7rtiFaA

Role Overview :

We are seeking a highly experienced Senior Data Engineering Lead with a strong focus on Databricks and cloud-based data engineering to lead our data engineering team. This leadership role requires a visionary who can design, develop, and manage scalable data infrastructure and pipelines, while mentoring and inspiring a team of data engineers. You will work closely with cross-functional teams including data scientists, analysts, and software engineers to enable robust data-driven decision-making and support business goals.

Key Responsibilities :

• Lead and manage a team of data engineers, providing mentorship, technical guidance, and fostering a culture of collaboration and innovation.
• Architect, design, and oversee implementation of large-scale data pipelines, data lakes, and cloud-based data warehouses using Databricks, Apache Spark, and Snowflake.
• Develop and optimize ETL / ELT workflows ensuring performance, reliability, and scalability of data infrastructure.
• Collaborate with business stakeholders, data scientists, and software teams to understand requirements and translate them into scalable, efficient data solutions.
• Implement best practices for data quality, governance, security, and compliance.
• Drive continuous improvement of data engineering processes, standards, and tools across the organization.
• Support presales activities by contributing to RFPs, technical proposals, and client engagements.
• Stay abreast of emerging data technologies and trends, recommending innovative solutions to enhance analytics capabilities.
• Manage resource planning, project prioritization, and delivery timelines ensuring alignment with business objectives.
• Lead performance reviews, identify skill gaps, and champion professional development within the data engineering team.
• Facilitate cross-team communication to streamline data workflows and improve overall delivery.

Qualifications & Skills :