
Data Engineering Leadership Position
2 weeks ago
Job Title: Data Engineering Lead
We are seeking an experienced Data Engineering Lead to spearhead our data engineering efforts.
The 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.
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