Senior Java Developer Jobs in Daly City, CA (NOW HIRING)

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JOB SUMMARY
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.
Key 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.
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
Required Qualifications
Experience:
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