Data Engineering Lead (Pre-sales)

MAIN REQUIREMENTS: Data Engineering Pre-sales Related Work Experience – Experience in data engineering, with at least 2–3 years in a leadership or senior technical role. Proven expertise in building and managing enterprise-level data pipelines and architectures. Strong experience with one or more cloud platforms (AWS, Azure, GCP). DUTIES AND RESPONSIBILITIES: Lead and mentor a team of data engineers, fostering collaboration, innovation, and continuous improvement. Define and enforce data engineering standards, coding practices, and architectural guidelines. Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions. Design and maintain high-performance ETL/ELT pipelines and workflows. Build and optimize data lake, data warehouse, and streaming data solutions. Ensure systems support structured, semi-structured, and unstructured data sources. Develop data transformation and preparation processes to deliver clean, reliable, analytics-ready datasets. Implement validation, anomaly detection, and automated quality checks to ensure accuracy and consistency. Define and execute data remediation strategies to resolve issues with minimal business disruption. Implement and manage cloud-based data platforms (AWS, Azure, or GCP). Apply modern frameworks (e.g., Spark, Kafka, Airflow, DBT) for efficient data processing. Oversee data modeling, schema design, and database optimization (SQL/NoSQL). Ensure accuracy, consistency, and availability of data across platforms. Implement governance, lineage, validation frameworks, and security best practices. Monitor, troubleshoot, and optimize pipelines to meet SLAs and performance benchmarks. Stay current with emerging data engineering and analytics technologies. Recommend improvements to systems, tools, and processes to enhance scalability, reliability, and quality. Other job-related activities that may be assigned from time to time.