We are seeking a Database Administrator to serve as the database expert across more than seven agile delivery teams. This role designs, installs, maintains and upgrades databases in production and non-production environments. Provides technical expertise in the use of database technology and is accountable for the overall performance of the enterprise's database environment.
Responsibilities:- Plans and organizes database activities regarding reliability, performance monitoring and tuning, security, backup and disaster recovery
- Codes, edits, and installs stored procedures and functions for accessing, maintaining, and populating databases
- Troubleshoots and resolves applications (ex., SQL, SqlServer, Amazon RDS) performance issues
- Monitors, analyzes database performance and calibrates parameters tuning for optimal performance
- Performs upgrades of databases, adding new structures or elements
- This position may occasionally require additional time beyond our normal working hours of Monday - Friday 8am to 8pm.
Additional Responsibilities:- Administers and optimizes data mesh infrastructure across multiple domains, ensuring domain-agnostic platform services maintain high availability and performance while optimizing for cost
- Manages Databricks Unity Catalog configurations for multi-workspace data sharing, including metastore federation, catalog hierarchies, and cross-workspace access patterns
- Implements and maintains data federation strategies connecting cloud-native storage with on-premises data sources through Starburst and other query engines
- Automates data migrations and ingestions
- Works with governance team to establish and enforce data governance policies within Unity Catalog, including fine-grained access controls, data lineage tracking, and compliance requirements
- Optimizes storage gateway ingestion pipelines for reliability, throughput, and cost-efficiency
- Collaborates with data domain owners to enable self-service data access while maintaining centralized platform standards
- Documents database architectures, data flows, and federation patterns to enable knowledge transfer across the organization
- Assures that appropriate information security is applied in all tasks
- Develops and maintains enterprise data documentation and technical metadata
- Monitors utilization for capacity planning
- Maintains development, production, and multiple testing environments
- Troubleshoots database accessibility, availability, and/or operability problems
- Determines the appropriate course of actions for fixing problems, identifies and mitigates risks, and implements solutions
#LI-SS3#LI-HYBRIDJob Requirements
Details:
Required Qualifications- Professional Level: 3+ years as a database administrator
- Senior Level: 6+ years as a database administrator
Technical Knowledge:- Amazon RDS, DMS, and SQL Server
- Databricks Unity Catalog administration (metastores, catalogs, schemas, external locations)
- Starburst/Trino query federation and connector configuration
- Data mesh architectural principles and domain-oriented data ownership models
- Cloud-native storage patterns (S3, ADLS, or equivalent) and storage gateway technologies
- Hybrid cloud/on-premises data federation and connectivity
- Delta Lake or similar lakehouse storage formats
- IAM and identity federation for cloud data platforms (AWS IAM, Azure AD, etc.)
- Data lineage and metadata management tools
- Infrastructure-as-Code for database provisioning (Terraform, CloudFormation, etc.)
- DMS, REST APIs and programmatic database administration
- Disaster recovery for databases
Core Competencies:- Superior communication skills - both written and verbal, with ability to communicate effectively at all organizational levels
- Analytical and problem-solving skills - quickly assess situations and drive to resolution
- Detail-oriented with process discipline - ensuring nothing falls through the cracks
- Calm under pressure - ability to make sound decisions during high-stakes production deployments
- Self-motivated and proactive - identifying issues before they become problems
- Customer service orientation - supporting development teams and stakeholders professionally
- Knowledge sharing and mentoring - ability to educate cross-functional teams on platform capabilities and best practices without formal reporting relationships
- Adaptability across technology stacks - comfortable navigating both cloud-native and legacy on-premises environments
- Strategic thinking - balancing immediate operational needs with long-term platform scalability
- Collaboration across organizational boundaries - working effectively with domain teams in a decentralized data mesh model
- Documentation excellence - creating clear, comprehensive technical documentation for diverse audiences
- Continuous learning mindset - staying current with rapidly evolving cloud database and data mesh technologies
- Ownership mentality - taking end-to-end responsibility for platform reliability without constant oversight
Work Schedule Requirements:- Must be available Monday-Friday 8am-5pm (any continental US time zone allowed)
- Flexibility to adjust schedule as needed for critical releases
- Ability to participate in occasional emergency deployments outside normal windows
Ideal Candidate Profile:The ideal candidate brings hands-on experience managing enterprise-scale, cloud-native data platforms with a focus on enabling data democratization through modern architectures. You understand that data mesh isn't just a technology implementation, it's a sociotechnical paradigm that requires both technical excellence and collaborative skills.
You thrive when:- Solving complex federation challenges that span cloud and on-premises environments
- Optimizing performance across distributed query engines and storage layers
- Balancing centralized governance with decentralized domain ownership
- Working independently with minimal supervision while knowing when to escalate or collaborate
You bring experience with:- Managing Databricks environments at scale, particularly Unity Catalog in multi-workspace scenarios
- Configuring and tuning Starburst/Trino for optimal query federation performance
- Designing data access patterns that serve diverse analytical use cases
- Hybrid cloud architectures where cloud-native and on-premises systems must interoperate seamlessly
You communicate effectively by:- Translating complex technical concepts for non-DBA audiences
- Creating documentation that empowers self-service while maintaining standards
- Educating domain teams on platform capabilities without being prescriptive about their data products
What Success Looks Like in This Role:In your first 30 days:- Gain comprehensive understanding of the existing data mesh architecture, Unity Catalog configuration, and federation topology
- Establish relationships with key data domain owners and understand their primary use cases
- Complete knowledge transfer sessions on current database environments, recurring issues, and operational procedures
- Identify quick wins for performance optimization or documentation gaps
In your first 90 days:- Take ownership of day-to-day database administration across all environments
- Implement at least one significant optimization to federation performance or storage gateway efficiency
- Establish monitoring and alerting baselines that proactively identify issues
- Deliver knowledge-sharing session to development teams on platform best practices
In your first 6 months:- Become the go-to expert for Unity Catalog, Starburst, and data mesh platform questions
- Lead at least one strategic initiative (e.g., new domain onboarding, major upgrade, disaster recovery enhancement)
- Reduce database-related incidents through proactive optimization and improved operational procedures
- Build trusted relationships where domain teams seek your guidance on data architecture decisions
Long-term success indicators:- Platform uptime and performance consistently meet or exceed SLAs
- Self-service data access increases while maintaining security and governance standards
- Domain teams successfully leverage platform capabilities with minimal DBA intervention
- Technical debt is actively managed, and platform scalability improves over time
- You've created comprehensive documentation and knowledge assets that reduce single-points-of-failure
Pay Range:
$ 100.00 - $ 106.00
