{"id":1557278,"url":"https://alion.io/job/voyager-sopris-learning-lead-database-administrator","title":"Lead Database Administrator","company":{"id":2038039,"name":"Voyager Sopris Learning","domain":"voyagersopris.com","url":"https://alion.io/company/voyagersopris","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":128000,"max_usd":220000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":98},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"DynamoDB","optional":false},{"name":"IAM","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"PowerShell","optional":false},{"name":"SQL","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"Ansible","optional":true},{"name":"AWS Glue","optional":true},{"name":"CloudFormation","optional":true},{"name":"Confluence","optional":true},{"name":"Jira","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-15T19:01:33Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), ExploreLearning® (online interactive math and science simulations, a math fact fluency solution, and a K-2 science solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond.\nJob Overview:\nWe are currently seeking a hands-on, Lead Database Administrator with exceptional SQL Server administration skills and proven cloud database experience to join our team of more than a hundred software engineers, designers, project managers and software specialists who are smart, creative, and passionate about what they do. Some of our ground-breaking work includes: advanced algorithms for computer-adaptive testing; highly scaled and high-performance distributed systems with big data challenges; user interfaces that are universally accessible to all; and innovative, AI-based scoring.\nThis Lead Database Administrator (DBA) will join the Systems Engineering team and partner closely with another Lead DBA to deploy, monitor, maintain, and optimize database systems supporting development activities and production applications in our AWS environment. Our footprint includes traditional SQL Server instances - standalone and clustered, hosting standalone databases, replicated databases, and large partitioned databases - alongside a growing set of cloud-native AWS data services, including Aurora (MySQL/PostgreSQL-compatible), DynamoDB, Redshift, and S3-based data lakes (e.g., S3 Tables). Our applications require exceptional reliability and performance, often supporting significant peak demand.\nYou will work autonomously or with small teams of systems engineers and software developers, collaborating closely with our other Lead DBA to configure, support, and enhance our database infrastructure. You'll need to be self-motivating and ready to take the initiative to identify opportunities and solve problems.\nBeyond supporting and optimizing our current environment, we are looking for someone to partner with our other Lead DBA and technology teams to help transform our infrastructure to meet new challenges - including continued adoption of cloud-native AWS database services.\nJob Responsibilities:\nDeploy, support, and upgrade SQL Server instances across our AWS environment (EC2-hosted and RDS) in partnership with our Systems Engineering team, with growing responsibility for cloud-native AWS data services (e.g., Aurora, DynamoDB, Redshift, and S3 Tables (Iceberg)-based data lakes) as we modernize our data platform.\nCoordinated with System Engineers to remove blockers, troubleshoot complex SQL Server issues, and ensure successful deployments.\nMonitor the overall health of our database infrastructure, supported by our Network Operations Center team.\nIdentify opportunities for improving database performance, increasing system reliability, optimizing resource utilization, and reducing costs - including evaluating cloud-native AWS alternatives - and collaborate with systems engineering and application development to assess and deploy solutions.\nCollaborate with development teams and support application design and deployment, optimization, troubleshooting, and problem resolution.\nDevelop SQL commands, stored procedures, and PowerShell scripts to automate administrative processes, facilitate monitoring, and assist in troubleshooting and problem solving.\nServe as a go-to resource on SQL Server- including system capabilities, internals, tools, deployment, and maintenance - across both self-managed and AWS-managed (RDS/Aurora) environments, alongside our Lead DBA\nSupport the organization's ongoing transition toward AWS-native database services, in partnership with our Lead DBA, evaluating fit-for-purpose options (e.g., RDS, Aurora, DynamoDB, Redshift, S3 Tables) for new and migrating workloads.\nMaintain documentation on configurations and processes and share database knowledge with systems engineers and developers.\nSupport on call schedule for evening and weekends shared with Lead DBA.\nJob Requirements:\n10+ years of Microsoft SQL Server database administration, including 7+ years managing large, mission-critical production systems.\n5+ years of hands-on experience administering cloud-native AWS database services (e.g., RDS, Aurora, DynamoDB, Redshift).\nHands-on experience with AWS database services, including SQL Server hosted on EC2 and RDS, with working knowledge of cloud-native offerings such as Aurora and RDS Multi-AZ/read replica configurations, plus working familiarity with adjacent AWS data services such as DynamoDB, Redshift, and S3-based data lakes (e.g., S3 Tables).\nDemonstrated ability to analyze and research performance-related issues, with experience using tools like Extended Events, dynamic management views (DMVs), or trace flags to diagnose and resolve deadlocks and long-running queries.\nExperience managing very large databases and knowledge of partitioned data storage, data replication, and bulk movement of large data sets.\nThorough understanding of best practices for database maintenance, including schema management, storage management, backup management, and disaster recovery.\nExperience deploying, supporting, and optimizing SQL Server, SQL Replication, and SQL Agent.\nExperience assessing and tuning SQL Server performance while considering hardware, storage, and network performance.\nAdvanced knowledge of SQL programming, including the ability to write and optimize queries, stored procedures, triggers, and user-defined functions to support database administration.\nSolid understanding of database theory and database design and their practical application to real-world situations.\nFamiliarity with database security and database auditing techniques, including AWS-native controls such as IAM database authentication and encryption at rest/in transit (KMS).\nFamiliarity with versions back to SQL Server 2019, with working knowledge of current-generation feature sets (e.g., SQL Server 2025).\nBachelor's degree in a relevant discipline or equivalent practical experience; Master's degree preferred.\nPreferred Qualifications:\nHands-on experience with AWS cloud-native database and analytics services such as Aurora (MySQL/PostgreSQL-compatible), DynamoDB, Redshift, or S3 Tables (Apache Iceberg tables on S3).\nFamiliarity with Infrastructure-as-Code (e.g., CloudFormation or CDK) for provisioning and managing cloud database resources.\nKnowledge of Ansible is a plus.\nExposure to AWS cost optimization practices for database workloads (storage tiering, right-sizing).\nExposure to AI-assisted database monitoring, anomaly detection, or query-tuning tooling.\nFamiliarity with Foglight is a plus.\nFamiliarity with Jira and Confluence.\nUnderstanding of data warehouse and data lake concepts and technologies, particularly within AWS (e.g., Redshift, S3-based data lakes, AWS Glue, Lake Formation).\nUnderstanding of OLAP concepts and technologies.\nKnowledge of data migration methods.\nRelevant certifications\nTo apply for this opportunity, simply click on the “Apply” button and submit a cover letter and resume.\nAn Equal Opportunity Employer\nWe are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. 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