Senior Data Platform Engineer
Blue Cross & Blue Shield of Rhode Island5 days ago
Providence, RI, USASenior
Base Salary
$102k - $164k/yr
Responsibilities
- Design, implement, configure, optimize, automate, and support enterprise database and cloud data platform solutions.
- Translate data architectures, technology roadmaps, modernization initiatives, and business requirements into implementable engineering designs.
- Provide senior technical contribution and Level 3 support for platform incidents, performance issues, integration failures, security events, and production outages.
- Implement database security, authentication, RBAC, service account governance, encryption, access controls, auditing, governance, and compliance requirements.
- Design and support backup, recovery, replication, failover, disaster recovery, high availability, and business continuity capabilities.
- Monitor and optimize database performance, query execution, storage, indexing, warehouse consumption, scaling, and workload management.
- Develop infrastructure configurations, deployment standards, provisioning automation, environment refreshes, cloning processes, monitoring integrations, runbooks, and operational procedures.
- Support ETL/ELT pipelines, analytical platforms, reporting environments, Power BI integrations, data engineering solutions, and enterprise data consumption patterns.
- Support database deployment pipelines, CI/CD processes, release activities, change management, and production readiness assessments.
- Conduct root cause analysis, implement corrective actions, evaluate emerging technologies, and recommend improvements to architecture, security, governance, performance, cost, and operational efficiency.
- Provide technical leadership and mentoring to junior engineers, DBAs, contractors, and platform support personnel.
- Partner with infrastructure, cloud engineering, cybersecurity, architecture, application development, analytics, vendor, and operations teams.
- Support cloud migration, platform modernization, database consolidation, and data platform transformation projects.
- Create and maintain technical designs, implementation guides, support procedures, platform standards, architecture diagrams, and knowledge-transfer materials.
Requirements
- Bachelor's degree in Information Technology, Computer Science, Data Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and experience.
- 5-7 years of experience supporting, engineering, administering, or developing enterprise database and data platform technologies.
- Hands-on experience with multiple enterprise database platforms, cloud data services, or analytical data technologies.
- Experience designing, implementing, and supporting production-grade data platform solutions in medium to large enterprise environments.
- Experience supporting mission-critical production systems across performance, availability, security, reliability, and incident response.
- Strong technical knowledge of Microsoft SQL Server, PostgreSQL, Oracle, and cloud-native database services.
- Hands-on experience with Snowflake architecture, administration, performance tuning, security, RBAC, warehouses, storage optimization, replication, and automation.
- Knowledge of Azure Data Lake, Azure Synapse, Azure SQL, Microsoft Fabric, and data warehouse architectures.
- Understanding of database internals, query tuning, indexing, partitioning, storage management, statistics management, and workload optimization.
- Experience with enterprise-scale analytical and reporting environments, data integration patterns, ETL/ELT architectures, API integration, and data movement technologies.
- Knowledge of data security, governance, compliance, privacy controls, auditability, and least-privilege access principles.
- Experience with backup, recovery, replication, disaster recovery, high availability, and business continuity capabilities.
- Experience with monitoring and observability platforms such as Grafana, Azure Monitor, Snowflake monitoring capabilities, and database performance tools.
- Understanding of DevOps and DataOps principles, source control, CI/CD pipelines, automated deployments, configuration management, and release governance.
- Ability to automate operational tasks using scripting languages, APIs, infrastructure automation frameworks, database-native tools, and cloud automation capabilities.
- Experience supporting hybrid environments spanning legacy, on-premises, hosted, and cloud-native technologies.
- Ability to identify technical risks, operational gaps, capacity constraints, performance concerns, and supportability issues and recommend remediation plans.
- Ability to communicate effectively with technical and business stakeholders, vendors, and technology leadership and mentor technical team members.
- Preferred qualifications include a master's degree, regulated-industry experience, additional Snowflake, Azure, Oracle, PostgreSQL, EDB Postgres, SQL Server, data warehousing, DataOps, DevOps, infrastructure-as-code, BI, Salesforce Data Cloud, and relevant technical certifications.
Benefits
- Flexible work arrangements with in-office, hybrid, and remote schedules; hybrid schedules are onsite 2-4 days per week and remote schedules are onsite 0-1 days per week.
- Paid time off and additional paid time to volunteer.
- Tuition reimbursement and student-loan repayment assistance.
- Health, dental, and vision insurance.
- Mental health and well-being programs.
- Bonuses and investment plans.
- Permitted residence states, pending Human Resources approval, include Arizona, Connecticut, Florida, Georgia, Louisiana, Massachusetts, North Carolina, Oklahoma, Rhode Island, South Carolina, Texas, and Virginia.
- Work location is associated with the company's downtown Providence headquarters.
Tech Stack
Categories
Data Engineering