Explore high-impact Senior Manager, Database Architect (Automation) jobs, a pivotal leadership role at the intersection of data strategy, cloud infrastructure, and intelligent automation. This senior position is designed for visionary technologists who architect the foundational data ecosystems that power modern, scalable enterprises. Professionals in this field transcend traditional database administration, focusing on strategic design, automation-first principles, and the governance of complex, cloud-native data platforms. Typically, a Senior Manager, Database Architect (Automation) holds a dual mandate: strategic leadership and hands-on technical excellence. They are responsible for defining the overarching data architecture blueprint, ensuring it aligns with business objectives while emphasizing scalability, performance, resilience, and cost-efficiency. A core aspect of the role is the relentless pursuit of automation, applying Infrastructure as Code (IaC) methodologies using tools like Terraform, Ansible, or AWS CloudFormation to provision, manage, and version database infrastructure. This automation extends to deployment pipelines, monitoring, lifecycle management, and disaster recovery processes, drastically reducing manual intervention and enhancing reliability. Common responsibilities include leading solution architecture initiatives for major cloud providers (such as AWS, Azure, or GCP) and SaaS integrations. They evaluate and adopt Platform-as-a-Service (PaaS) and managed database services to accelerate development. A critical duty is establishing and enforcing architectural best practices, data governance policies, and security frameworks, often in close collaboration with DevOps and Security teams to embed compliance and operational efficiency throughout the software development lifecycle. They provide hands-on guidance with a diverse technology stack, often encompassing relational databases (e.g., PostgreSQL, MySQL, SQL Server), NoSQL databases (e.g., MongoDB, Cassandra, Redis), and cloud data warehouses (e.g., Snowflake, BigQuery, Redshift). The typical skill set for these jobs requires a strong blend of deep technical expertise and managerial acumen. Candidates generally need extensive experience in cloud architecture, database design, and scripting for automation. Proficiency in automation and orchestration tools, along with a solid understanding of networking, security, and high-availability design, is essential. Leadership skills are paramount, as the role involves mentoring architects and engineers, managing stakeholder expectations, and driving technology roadmaps. A bachelor’s degree in computer science or a related field is commonly required, coupled with 5+ years of progressive experience in database architecture and cloud technologies. For those seeking to lead the transformation of data infrastructure through intelligent automation, Senior Manager, Database Architect (Automation) jobs offer a challenging and rewarding career path at the forefront of technological innovation.
