Data Engineering Lead

Role Overview: As the Data Engineering Lead, you will be responsible for driving the design, development, and delivery of cutting-edge data solutions. Your role will encompass strong technical expertise, strategic leadership, and a consulting mindset. You will oversee the development of robust data pipelines and systems, manage a team of 5 to 7 engineers, and architect innovative solutions tailored to client needs. Your leadership will foster a culture of accountability, ownership, and continuous improvement in a fast-paced consulting environment. Key Responsibilities: - Act as the primary point of contact for US-based clients, ensuring alignment on project goals, timelines, and deliverables. - Engage with stakeholders to understand requirements and maintain alignment throughout the project lifecycle. - Present technical concepts and designs to both technical and non-technical audiences. - Architect, design, and implement end-to-end data pipelines and systems handling large-scale, complex datasets. - Lead technical project execution, ensuring high-quality deliverables within timelines. - Manage, mentor, and grow a team of 5 to 7 data engineers, fostering continuous learning and collaboration. - Analyze and optimize existing data workflows for performance and cost-efficiency. - Embrace a consulting mindset, quickly adopting new tools and technologies for innovation. - Stay updated with emerging data technologies and integrate them into existing workflows. - Drive internal initiatives for process improvement and contribute to organizational eminence. Qualifications Required: - Bachelor's or master's degree in computer science, Data Engineering, or a related field. - Certifications in cloud platforms such as Snowflake Snowpro, Data Engineer are a plus. - 8+ years of experience in data engineering with expertise in data pipeline development and system optimization. - Strong background in data warehousing with familiarity in tools like Matillion, dbt, Striim. - Proficiency in programming languages like Python, Scala, or Java and designing data pipelines in Cloud Data Warehouses. - Hands-on experience in designing data integration solutions using Matillion and/or dbt. - Knowledge of database systems (relational and NoSQL) and data modeling techniques. - Experience working with cloud platforms (AWS, Azure, GCP) and Agile methodology. - Exceptional problem-solving skills, strong communication, and interpersonal skills. - Ability to thrive in a consulting environment, handle ambiguity, and demonstrate accountability. (Note: Omitted additional details about company mentioned in the JD),