Senior Data Platform Engineer

Blue Cross & Blue Shield of Rhode Island•Providence, RI

4d•Hybrid

About The Position

Serves as a hands-on technical resource responsible for engineering, implementing, optimizing, automating, and supporting enterprise data platforms and database technologies. Accountable for translating data architecture and product roadmap requirements into scalable, secure, highly available, and operationally supportable solutions across enterprise data platforms. Partners closely with the Data Platform Operations Manager to ensure platform standards, operational best practices, security requirements, governance controls, automation practices, and support processes are consistently implemented across the data platform ecosystem. Provides senior technical leadership for complex initiatives, platform modernization efforts, cloud adoption programs, performance optimization activities, operational engineering, and Level 3 production support.

Requirements

Bachelor's degree in Information Technology, Computer Science, Data Science, Information Systems, Engineering, or 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.
Demonstrated 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 within medium to large enterprise environments.
Experience supporting mission-critical production systems with responsibilities spanning performance, availability, security, reliability, and incident response.
Strong technical knowledge of relational database platforms including Microsoft SQL Server, PostgreSQL, Oracle, and cloud-native database services.
Strong hands-on experience with Snowflake architecture, administration, performance tuning, security, RBAC, warehouses, storage optimization, replication, and platform automation.
Knowledge of modern cloud data platforms including Azure Data Lake, Azure Synapse, Azure SQL, Microsoft Fabric, and data warehouse architectures.
Strong understanding of database internals, query tuning, indexing strategies, partitioning, storage management, statistics management, workload optimization, and performance engineering.
Experience supporting enterprise-scale analytical and reporting environments.
Understanding of data integration patterns, ETL/ELT architectures, API integration concepts, and data movement technologies.
Strong knowledge of data security, governance, compliance, privacy controls, auditability requirements, and least-privilege access principles.
Experience designing and supporting backup, recovery, replication, disaster recovery, high-availability, and business continuity capabilities.
Ability to troubleshoot complex production issues affecting databases, cloud data services, reporting platforms, analytics environments, integrations, and application systems.
Experience working with monitoring and observability platforms including Grafana, Azure Monitor, Snowflake monitoring capabilities, and database performance tools.
Understanding of DevOps and DataOps principles, including 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 automation tools, and cloud automation capabilities.
Experience supporting hybrid environments containing legacy, on-premises, hosted, and cloud-native technologies.
Ability to interpret architecture standards and implement engineering solutions that align with strategic technology objectives.
Ability to identify technical risks, operational gaps, capacity constraints, performance concerns, and supportability issues while recommending practical remediation plans.
Strong analytical, problem-solving, troubleshooting, and decision-making skills.
Ability to effectively communicate with architects, engineers, DBAs, developers, product owners, project teams, business stakeholders, vendors, and technology leadership.
Ability to mentor technical team members and promote engineering excellence, operational discipline, documentation quality, and adoption of best practices.
Comfortable operating within Agile, DevOps, Waterfall, hybrid, and governance-driven delivery models.
Ability to balance project delivery responsibilities with operational support, production stability, and continuous improvement initiatives.

Nice To Haves

Master's degree in Information Technology, Computer Science, Data Science, Engineering, Information Systems, or related field.
Experience working within healthcare, insurance, financial services, or other highly regulated environments.
Experience with Snowflake platform engineering and administration.
Experience with Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL Database, Azure SQL Managed Instance, Azure-native data services, and Microsoft Fabric.
Experience with Oracle database platforms, PostgreSQL, EDB Postgres, and SQL Server administration and engineering.
Experience with data warehousing, dimensional modeling, data lake architectures, ELT/ETL platforms, and modern analytics ecosystems.
Experience with DataOps, DevOps, infrastructure-as-code, automation frameworks, CI/CD pipelines, and cloud-native operational practices.
Experience with Salesforce Data Cloud, customer data platforms, customer identity solutions, or enterprise data activation platforms.
Experience supporting enterprise reporting, analytics, Power BI, Tableau, or other BI environments.
Relevant certifications in Microsoft Azure, Snowflake, Oracle, PostgreSQL, SQL Server, cloud engineering, data engineering, or related technologies.

Responsibilities

Design, engineer, implement, configure, and support enterprise database and cloud data platform solutions supporting operational, analytical, reporting, and data integration workloads.
Partner with Data Architects to translate target-state architectures, technology roadmaps, modernization initiatives, and business requirements into implementable engineering designs and operationally sustainable solutions.
Lead hands-on implementation and support activities across Microsoft SQL Server, Azure SQL, PostgreSQL, Oracle, Snowflake, Azure Data Lake, Azure Synapse, Microsoft Fabric, and related enterprise data platforms.
Serve as a senior technical contributor supporting both project delivery and ongoing operational platform needs.
Develop and maintain infrastructure, platform configurations, deployment standards, automation routines, and operational processes that improve platform reliability, scalability, security, performance, and supportability.
Engineer database platform solutions that align with enterprise security, data governance, compliance, disaster recovery, business continuity, and operational standards.
Implement and maintain database security controls, authentication methods, RBAC models, service account governance, encryption capabilities, access controls, and audit requirements.
Design and support highly available and resilient platform architectures including backup, recovery, replication, failover, disaster recovery, and business continuity capabilities.
Provide senior-level troubleshooting and Level 3 support for complex platform incidents, performance issues, integration failures, data integrity concerns, security events, and critical production outages.
Conduct root cause analysis for recurring operational issues and implement permanent corrective actions to improve long-term platform stability.
Partner with the Data Platform Operations team to establish operational runbooks, monitoring standards, support procedures, escalation models, and automation opportunities.
Monitor and optimize database performance, query execution, storage utilization, warehouse consumption, platform scaling, indexing strategies, and workload management.
Support analytical platform workloads, reporting environments, Power BI integrations, ETL/ELT pipelines, data engineering solutions, and enterprise data consumption patterns.
Design and implement automated provisioning, environment refreshes, cloning processes, administrative workflows, monitoring integrations, and recurring operational activities.
Support database deployment pipelines, CI/CD processes, release activities, change management reviews, and production readiness assessments.
Review solution designs, data models, engineering approaches, and platform usage patterns to ensure alignment with enterprise architecture standards and best practices.
Participate in technology evaluations, proof-of-concepts, and emerging platform assessments to support modernization and innovation initiatives.
Provide technical leadership and mentoring to junior engineers, database administrators, contractors, and platform support personnel.
Partner with infrastructure, cloud engineering, cybersecurity, architecture, application development, analytics, and vendor teams to coordinate platform implementations and support activities.
Support cloud migration initiatives, platform modernization programs, database consolidation efforts, and data platform transformation projects.
Develop and maintain technical documentation including engineering designs, implementation guides, support procedures, platform standards, architecture diagrams, operational documentation, and knowledge-transfer materials.
Evaluate and recommend improvements for operational efficiency, platform architecture, automation, governance, security, performance, and cost optimization.
Stay current on advancements in database technologies, cloud-native data services, Snowflake capabilities, Microsoft data platforms, Oracle technologies, PostgreSQL ecosystems, Salesforce Data Cloud, and emerging data engineering practices.
Perform other duties as assigned.