Data Engineering Manager

As a Quality Data Architect and Data Engineering Manager/Director at our company, you will play a crucial role in leading and mentoring a team of data engineers to ensure high performance and career growth. Your responsibilities will include architecting and optimizing scalable data infrastructure for high availability and reliability. You will drive the development and implementation of data governance frameworks and best practices, working closely with cross-functional teams to define and execute a data roadmap. Additionally, you will optimize data processing workflows for performance and cost efficiency, ensuring data security, compliance, and quality across all data platforms. Your contribution will foster a culture of innovation and technical excellence within the data team. Key Responsibilities: - Lead and mentor a team of data engineers for high performance and career growth. - Architect and optimize scalable data infrastructure for high availability and reliability. - Drive the development and implementation of data governance frameworks and best practices. - Work with cross-functional teams to define and execute a data roadmap. - Optimize data processing workflows for performance and cost efficiency. - Ensure data security, compliance, and quality across all data platforms. - Foster a culture of innovation and technical excellence within the data team. Qualifications Required: - 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role. - Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS. - Proficiency in SQL, Python, and Scala for data processing and analytics. - Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services. - Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks. - Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery. - Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.). - Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK. - Proven ability to drive technical strategy and align it with business objectives. - Strong leadership, communication, and stakeholder management skills. Additional Company Details: - Exposure to real-time data processing and analytics, machine learning infrastructure or MLOps is a plus. - Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture. - Prior experience in a SaaS or high-growth tech company is preferred. As a Quality Data Architect and Data Engineering Manager/Director at our company, you will play a crucial role in leading and mentoring a team of data engineers to ensure high performance and career growth. Your responsibilities will include architecting and optimizing scalable data infrastructure for high availability and reliability. You will drive the development and implementation of data governance frameworks and best practices, working closely with cross-functional teams to define and execute a data roadmap. Additionally, you will optimize data processing workflows for performance and cost efficiency, ensuring data security, compliance, and quality across all data platforms. Your contribution will foster a culture of innovation and technical excellence within the data team. Key Responsibilities: - Lead and mentor a team of data engineers for high performance and career growth. - Architect and optimize scalable data infrastructure for high availability and reliability. - Drive the development and implementation of data governance frameworks and best practices. - Work with cross-functional teams to define and execute a data roadmap. - Optimize data processing workflows for performance and cost efficiency. - Ensure data security, compliance, and quality across all data platforms. - Foster a culture of innovation and technical excellence within the data team. Qualifications Required: - 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role. - Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS. - Proficiency in SQL, Python, and Scala for data processing and analytics. - Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services. - Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks. - Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery. - Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.). - Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK. - Proven ability to drive technical strategy and align it with business objectives. - Strong leadership, communica