Are you a visionary technical leader passionate about transforming raw data into strategic assets? Explore senior Big Data Development Manager jobs, a pivotal executive role at the intersection of data engineering, software development, and people leadership. Professionals in this capacity are responsible for steering the entire big data application development lifecycle, from architectural conception to deployment and optimization. They lead and mentor high-performing teams of data engineers and developers, fostering innovation while ensuring the delivery of robust, scalable data platforms that drive business intelligence, advanced analytics, and machine learning initiatives. A Senior Big Data Development Manager typically oversees the design and implementation of complex, distributed data processing systems. Common responsibilities include setting the technical vision and roadmap for the big data ecosystem, managing project timelines and budgets, and ensuring alignment with overarching business objectives. They are deeply involved in architecting solutions using modern frameworks, establishing coding and data governance standards, and championing Agile and DevOps best practices. A critical aspect of the role is stakeholder management, requiring clear communication to translate business needs into technical requirements and to demonstrate the value of data investments. Day-to-day duties also encompass resource allocation, performance management, hiring, and professional development of their team. To excel in these leadership jobs, candidates must possess a rare blend of deep technical expertise and strong managerial acumen. Typically, a robust background of 8+ years in data engineering with several years in a leadership capacity is expected. Technical proficiency is non-negotiable, with hands-on experience in core big data technologies such as Apache Spark, Hadoop (HDFS, Hive, YARN), and Kafka. Advanced programming skills in Scala, Java, or Python are standard requirements, coupled with expertise in designing efficient ETL/ELT pipelines, data modeling, and performance tuning. Familiarity with containerization (Docker, Kubernetes), workflow orchestration (Airflow), and cloud data platforms is increasingly essential. Beyond technical skills, successful managers demonstrate proven abilities in strategic planning, risk assessment, problem-solving, and cross-functional collaboration. They are adept at navigating the full software development lifecycle within an Agile framework and possess a forward-looking understanding of emerging trends like AI and machine learning operations (MLOps). For seasoned leaders aiming to shape the data-driven future of an organization, senior Big Data Development Manager jobs offer a challenging and rewarding career path. This role is ideal for those who thrive on building elite teams, architecting cutting-edge data solutions, and delivering tangible business impact through the power of information.
