Data Engineer Vice President Role

Job Description

Role: Data Engineer Vice President Role Company Name: Quali test Location: Bangalore Work Mode: Hybrid Data Engineering Vice President: Job description This typically entails leading and overseeing a team of data engineers, defining the overall data architecture strategy, building scalable data pipelines, ensuring data quality and governance, collaborating with cross-functional teams to drive data-driven decision making, and managing the technical roadmap for data engineering initiatives within an organization; requiring extensive experience in data engineering technologies, strong leadership skills, and a deep understanding of business needs to translate them into technical solutions. Key Responsibilities: Strategic Leadership: Develop and execute a comprehensive data engineering strategy aligned with business objectives, including data architecture, data pipelines, and data governance policies. Define the long-term vision for data infrastructure, identifying opportunities for modernization and innovation. Collaborate with senior stakeholders across departments to understand data needs and translate them into actionable data engineering plans. Team Management: Build, lead, and mentor a high-performing team of data engineers, including recruiting, performance management, and career development. Foster a culture of collaboration, innovation, and continuous improvement within the data engineering team. Establish clear technical standards, best practices, and coding guidelines for data engineering project Technical Execution: Design and implement scalable data pipelines for data ingestion, transformation, and loading (ETL/ELT) across various data sources. Architect and manage data warehouses, data lakes, and other data storage solutions on cloud platforms (AWS, Azure, GCP). Oversee the development and maintenance of data quality monitoring systems to ensure data accuracy and reliability. Data Governance: Establish data governance frameworks to manage data access, security, privacy, and compliance regulations. Define data ownership and accountability across the organization. Implement data quality checks and remediation processes. Collaboration and Stakeholder Management: Partner with data scientists, analysts, product managers, and business leaders to understand their data needs and deliver data-driven insights. Communicate complex technical concepts effectively to both technical and non-technical audiences. Advocate for data-driven decision making across the organization. Required Skills and Experience: Technical Expertise: Deep understanding of data engineering principles, including data warehousing, data lakes, data pipelines, and distributed computing frameworks (Spark, Hadoop). Proficiency in cloud computing platforms (AWS, Azure, GCP) and related data services Experience with data modeling, data integration, and ETL/ELT processes Knowledge of data quality tools and techniques Leadership Skills: Proven track record of leading and managing high-performing data engineering teams Excellent communication and collaboration skills to work effectively with cross-functional teams Ability to set clear expectations, provide constructive feedback, and drive team performancc Business Acumen: Understanding of business needs and ability to translate them into data engineering solutions Strategic thinking and ability to align data engineering initiatives with overall business objectives Education and Experience: Bachelor's degree in Computer Science, Engineering, or a related field 10+ years of experience in data engineering, with significant experience leading large data engineering teams Demonstrated experience in building and managing complex data infrastructure on cloud platforms