Job Description
As a Lead Data Engineer, you will serve as a strategic technical leader, architecting, scaling, and optimizing enterprise-wide data platforms. You will drive innovation, set technical direction, and mentor a high-performing team to deliver robust, secure, and high-quality data solutions that power business-critical analytics and applications across the organization.
Key Responsibilities :
Technical Leadership & Strategy :
– Define and drive the data engineering vision, strategy, and roadmap in alignment with business goals.
– Architect and oversee the design of complex, distributed data systems, ensuring scalability, reliability, and security.
– Establish and enforce technical standards, best practices, and governance for data engineering across teams.
– Advise on technical specifications and collaborate with product owners, business partners, and cybersecurity teams to clarify requirements and dependencies.
Team Leadership & Mentoring :
– Lead, mentor, and grow a team of data engineers, fostering a culture of innovation, accountability, and continuous improvement.
– Conduct regular code and design reviews, promoting clean, efficient, and maintainable code.
– Champion professional development and knowledge sharing within the team.
Project & Stakeholder Management :
– Own end-to-end delivery of large-scale data engineering projects, including prioritization, planning, and stakeholder management.
– Track external commitments and ensure timely delivery of features and enhancements.
– Identify and drive opportunities for process improvements and automation.
Technical Excellence & Innovation :
– Resolve complex technical issues and make impactful decisions that shape the future of data engineering at the enterprise level.
– Lead the evaluation and adoption of emerging technologies (e.g., cloud platforms, streaming, ML/AI integration).
– Ensure production systems are robust, performant, and meet SLAs.
– Proactively identify and resolve bottlenecks.
Cross-Functional Collaboration :
– Work closely with senior engineers, architects, and product managers to develop innovative solutions for new product development.
– Collaborate with business and analytics teams to deliver data products that unlock business value.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications :
– 14 or more years of relevant work experience with a bachelors degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 14+ years of relevant work experience.
Preferred Qualifications :
– Proven experience architecting and leading enterprise-scale data engineering initiatives (Hadoop, Hive, Spark, Kafka, etc.).
– Strong programming proficiency in Python, Java, or Scala.
– Production-level experience architecting Hadoop, Spark, and Databricks data pipelines.
– Hands-on experience with AWS or Azure (Glue, Synapse, Redshift, Delta Lake, S3).
– Familiarity with Kafka, Airflow, Kubernetes, and containerized data services.
– Deep expertise in cloud platforms (AWS, Azure, GCP) and associated services (EC2, S3, SageMaker, etc.).
– Advanced proficiency in programming languages (Scala, Python, Java) and scripting (Unix/Shell, Python).
– Understanding of RAG pipelines, vector databases, and AI data flows.
– Experience designing data pipelines and APIs compatible with Model Context Protocol (MCP)-based agent frameworks, enabling seamless integration between AI agents, data services, and enterprise API
– Strong background in data modeling, ETL/ELT, and optimization of big data pipelines.
– Experience with CI/CD, automated testing, and DevOps tools (Jenkins, Artifactory, Git, Selenium, Chef).
– Familiarity with RDBMS (MS SQL, DB2, Oracle) and visualization tools (Tableau, Power BI).
– Demonstrated ability to lead teams, influence stakeholders, and deliver results in a fast-paced, global environment.
– Excellent communication, leadership, and organizational skills.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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