Auf einen Blick
- Aufgaben: Leite das Data Platform Operations Team und manage die Datenbank- und Cloud-Plattformen.
- Unternehmen: BCBSRI, ein innovatives Unternehmen mit einer Kultur der Zugehörigkeit.
- Vorteile: Flexibles Arbeiten, Gesundheitsleistungen, Weiterbildung und bezahlte Freistellungen.
- Weitere Informationen: Engagiertes Team mit hervorragenden Entwicklungsmöglichkeiten.
- Warum dieser Job: Gestalte die Zukunft der Datenplattformen und mache einen echten Unterschied.
- Qualifikationen: Erfahrung in Datenbankadministration und Teamführung erforderlich.
Das prognostizierte Gehalt liegt zwischen 133300 - 213300 € pro Jahr.
Pay Range: $133,300.00 - $213,300.00 Please email if you are a candidate seeking a reasonable accommodation for the application and/or interview process.
At BCBSRI, our greatest resource is our people.
We come from varying backgrounds, different cultures, and unique experiences.
We are hard-working, caring, and creative individuals who collaborate, support one another, and grow together.
Passion, empathy, and understanding are at the forefront of everything we do- not just for our members, but for our employees as well.
We recognize that to do your best work, you have to be your best self.
It’s why we offer flexible work arrangements that include remote and hybrid opportunities and paid time off.
We provide tuition reimbursement and assist with student-loan repayment.
We offer health, dental, and vision insurance as well as programs that support your mental health and well-being.
We pay competitively, offer bonuses and investment plans, and are committed to growing and developing our employees.
Our culture is one of belonging.
We strive to be transparent and accountable.
We believe in equipping our associates with the knowledge and resources they need to be successful.
No matter where you’re at in the organization, you’re an integral part of our team and your input, thoughts, and ideas are valued.
Join others who value a workplace for all.
We appreciate and celebrate everything that makes us unique, from personal characteristics to past experiences.
Our different perspectives strengthen us as an organization and help us better serve all Rhode Islanders.
We’re dedicated to serving Rhode Islanders.
Our focus extends beyond providing access to high-quality, affordable, and equitable care.
To further improve the health and well-being of our fellow Rhode Islanders, we regularly roll up our sleeves and get to work (literally) in communities all across the state- building homes, working in food pantries, revitalizing community centers, and transforming outdoor spaces for children and adults.
Because we believe it is our collective responsibility to uplift our fellow Rhode Islanders when and where we can, our associates receive additional paid time to volunteer.
Why this job matters
Working closely with data engineering, application engineering, infrastructure, security, architecture, analytics, business intelligence, product, and vendor teams, leads the operational management, reliability, governance, and continuous improvement of enterprise database and cloud data platforms.
Accountable for managing a team responsible for database administration, production support, access governance, release support, performance optimization, backup and recovery, vulnerability remediation, monitoring, automation, platform modernization across legacy, on-premises, cloud-hosted, and cloud-native data environments.
Ensures that data platforms are secure, compliant, performant, resilient, cost-aware, and aligned with enterprise architecture, data governance, SDLC, Dev Ops, and operational standards.
Platform scope: Microsoft SQL Server, SQL Server on Azure VM, Azure SQL Database, Azure SQL Managed Instance, Postgre SQL, EDB Postgres, Oracle databases and Oracle-based data platforms, IBM Netezza, Snowflake, Azure Data Lake, Azure Synapse Analytics, Azure-based data services, data integration touchpoints with Power BI and analytical tools, and Salesforce Data Cloud knowledge where applicable.
What you will do
- Lead and manage the Data Platform Operations team responsible for administration, operational support, reliability, governance, security, performance, and modernization of enterprise database and cloud data platforms.
- Own day-to-day operational coverage for Microsoft SQL Server, Azure SQL, Postgre SQL, Oracle, Netezza, Snowflake, Azure Data Lake, Azure Synapse, and other Azure-based data platforms, ensuring production issues, service requests, and project support are prioritized and resolved effectively.
- Provide management oversight for database access management activities, including user provisioning, service account governance, access reviews, recertifications, least-privilege controls, and remediation of access-related audit findings.
- Partner with security, risk, compliance, and data governance stakeholders to ensure database platforms and data services meet enterprise security, privacy, auditability, retention, and regulatory expectations.
- Lead operational support for database release and change management, including review and approval of database deployment activities, execution oversight for database scripts, production readiness, rollback planning, and post-deployment validation.
- Coordinate database infrastructure and environment management activities, including database builds, refreshes, data movement between environments, Snowflake clones, Azure SQL refreshes, Oracle and Postgre SQL refreshes, and test environment readiness.
- Ensure effective production support and incident management across supported platforms, including response to performance issues, failed or delayed batch jobs, data refresh failures, integration issues, security events, and database availability concerns.
- Manage platform monitoring practices using Grafana, native cloud monitoring, Snowflake monitoring, SQL Server tooling, Oracle tooling, and other operational observability capabilities to proactively identify availability, capacity, performance, and security risks.
- Drive database performance and optimization practices, including query tuning, warehouse and compute utilization analysis, storage optimization, reporting workload optimization, and partnership with analytics and application teams on performance remediation.
- Oversee storage, capacity, and cost management activities across database platforms, including SQL Server storage management, Snowflake warehouse utilization, Azure data platform consumption, archival strategies, cleanup activities, and database consolidation opportunities.
- Lead backup, recovery, high availability, and disaster recovery planning and execution, including database recovery strategies, DR testing, Snowflake replication, account failover readiness, and platform resilience improvements.
- Manage vulnerability and security remediation activities for database platforms, including assessment of platform findings, patch coordination, remediation tracking, authentication modernization, security event monitoring, and compliance reporting.
- Oversee SQL Server licensing and database rationalization activities, including license audits, consolidation planning, compatibility assessments, and migration planning to Azure SQL Database or Azure SQL Managed Instance where appropriate.
- Provide management and technical guidance for Snowflake platform administration, including RBAC, service user conversion, warehouse performance, data pipeline support, replication, account redirect/failover capabilities, Snowpark, notebooks, and new capability evaluation.
- Guide teams on appropriate platform selection and modernization patterns across relational databases, analytical platforms, cloud-native data services, data lake architectures, and enterprise reporting workloads.
- Partner with application development, data engineering, analytics, architecture, infrastructure, and vendor teams to review solution designs, identify operational impacts, establish support models, and ensure data platform readiness for new initiatives.
- Build and mature operational runbooks, standard operating procedures, support documentation, release documentation, platform standards, service catalog items, and knowledge articles for repeatable platform operations.
- Drive automation and process improvement efforts, including user provisioning automation, recurring refresh automation, Snowflake clone automation, catalog workflow enhancements, ad-hoc query automation, data archival automation, and recurring operational task reduction.
- Lead, coach, mentor, and develop database administrators and data platform engineers, setting clear priorities, supporting technical growth, managing workload, and promoting consistent operational practices.
- Manage vendor, partner, and cross-functional relationships supporting data platform operations, ensuring service quality, issue escalation, knowledge transfer, and alignment to enterprise operating models.
- Track and communicate operational health, risks, incidents, capacity trends, platform improvements, project commitments, audit activities, and modernization opportunities to technology leadership and business stakeholders.
- Continuously assess emerging capabilities across Snowflake, Azure data services, SQL platforms, Postgre SQL, Oracle, Salesforce Data Cloud, monitoring tools, automation frameworks, and data governance tooling to recommend practical improvements.
- Perform other duties as assigned.
What you need to succeed
- 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 in database administration, data platform operations, infrastructure operations, data engineering operations, or a closely related enterprise technology discipline.
- 3-5 years of experience leading teams, managing technical resources, coordinating operational work, or serving in a senior lead role responsible for database or data platform support.
- Demonstrated experience supporting production database platforms in an enterprise environment with responsibilities spanning availability, performance, security, access management, change management, backup/recovery, and incident response.
- Strong knowledge of enterprise database operations, including administration, monitoring, performance tuning, backup/recovery, disaster recovery, capacity management, storage management, security, and production support practices.
- Working knowledge of Microsoft SQL Server, SQL Server on Azure VM, Azure SQL Database, Azure SQL Managed Instance, Postgre SQL, EDB Postgres, Oracle, IBM Netezza, Snowflake, Azure Data Lake, Azure Synapse, and related Azure data platform capabilities.
- Ability to manage operational priorities across incidents, service requests, access requests, audit activities, release work, project support, platform upgrades, and modernization initiatives.
- Strong understanding of data platform security and governance, including role-based access control, least privilege, service account governance, recertifications, audit logging, vulnerability remediation, encryption concepts, retention, and data protection practices.
- Experience leading production incident response and root cause analysis for database and data platform issues affecting applications, reporting, batch processing, analytics workloads, and data pipelines.
- Ability to evaluate database performance issues, query optimization needs, compute and warehouse utilization, storage concerns, reporting workload bottlenecks, connectivity issues, and platform configuration risks.
- Knowledge of backup, recovery, replication, high availability, account failover, disaster recovery testing, and business continuity practices across relational and analytical data platforms.
- Understanding of cloud data platform patterns, including data lakes, cloud databases, managed instances, analytical warehouses, data pipelines, data refreshes, environment cloning, and test environment management.
- Ability to partner with architecture and engineering teams to advise on platform selection, data architecture, operational readiness, scalability, supportability, and modernization tradeoffs.
- Experience with monitoring and observability tools such as Grafana, native Azure monitoring, Snowflake monitoring, database platform tools, alerting frameworks, and operational dashboards.
- Understanding of Dev Ops and SDLC practices related to database change management, release pipelines, deployment reviews, source control, environment coordination, and change control.
- Ability to mature operational processes through automation, service catalog improvements, runbook development, workflow optimization, recurring task reduction, and continuous improvement practices.
- Strong leadership skills with the ability to coach technical staff, set priorities, balance support and project demand, manage escalations, and create a culture of accountability and service quality.
- Ability to communicate effectively with technical and non-technical audiences, including explaining operational risks, tradeoffs, compliance impacts, platform decisions, and remediation plans.
- Ability to operate within agile, waterfall, hybrid, governance-driven, and ITIL-based operating models as required by enterprise delivery and support processes.
The extras
- Master’s degree in Information Technology, Computer Science, Data Science, Business Information Systems, Engineering, or a related field.
- Experience in healthcare, insurance, financial services, or another regulated environment with strong privacy, auditability, data protection, retention, and compliance requirements.
- Experience managing enterprise database teams supporting blended legacy, on-premise, cloud-hosted, and cloud-native data platforms.
- Experience with Snowflake administration, Azure SQL, Azure Synapse Analytics, Azure Data Lake, Microsoft Fabric or related Azure data services, Oracle, Postgre SQL, IBM Netezza, and Microsoft SQL Server.
- Experience with Salesforce Data Cloud concepts, customer data platforms, data integration, data quality, identity resolution, or analytical data activation capabilities.
- Experience with Dev Ops, CI/CD, release governance, infrastructure-as-code concepts, automated provisioning, Service Now workflows, and operational automation.
- Relevant certifications such as Microsoft Azure database or data engineering certifications, Snowflake certifications, Oracle certifications, Postgre SQL certifications, ITIL, security certifications, or cloud architecture certifications.
- Experience working with internal teams, managed service providers, offshore partners, software vendors, and cross-functional delivery teams.
BCBSRI is headquartered in downtown Providence, conveniently located near the train station and bus terminal.
We actively support associate well-being and work/life balance and offer the following schedules, based on role:
Location
- In-office: onsite 5 days per week
- Hybrid: onsite 2-4 days per week
- Remote: onsite 0-1 days per week.
- Permitted to reside in the following states, pending approval from the
- Human
- Resources
Department: Arizona, Connecticut, Florida, Georgia, Louisiana, Massachusetts, North Carolina, Oklahoma, Rhode Island, South Carolina, Texas, Virginia
Our culture of belonging at Blue Cross & Blue Shield of Rhode Island (BCBSRI) is at the core of all we do, and it strengthens our ability to meet the challenges of today’s healthcare industry.
BCBSRI is an equal opportunity employer.
The law requires an employer to post notices describing the Federal laws. Please visit to view the \"Know Your Rights\" poster.
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Manager Data Platform Operations Arbeitgeber: Embedded Shishya
Jitterbit ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, in einem dynamischen und wachsenden Umfeld zu arbeiten, das sich auf die Integration von Plattformen als Dienstleistung (iPaaS) spezialisiert hat. Mit einem flexiblen, remote-freundlichen Arbeitsmodell und einer Unternehmenskultur, die auf Zusammenarbeit und persönlichem Wachstum basiert, fördern wir Ihre Karriere durch Mentorship und kontinuierliche Entwicklung. Hier haben Sie die Chance, bedeutende Partnerschaften zu entwickeln und die Zukunft der API-Nutzung in geschäftskritischen Prozessen mitzugestalten.
StudySmarter Expertenrat🤫
Wir sind der Meinung, dass du so Manager Data Platform Operations erhalten könntest
✨Wende dich an die richtigen Communities
Schau dir Online-Communities und Foren an, die sich um Data Science drehen, wie Kaggle oder GitHub. Engagiere dich dort aktiv, teile deine Projekte und lerne von anderen – das wird dir helfen, nicht nur einen Fuß in die Tür zu bekommen, sondern auch wertvolle Kontakte zu knüpfen.
✨Präsentiere deine Daten-Projekte
Baue ein Portfolio auf, das deine besten Projekte zeigt. Nutze Plattformen wie GitHub oder eine persönliche Webseite, um deine Arbeiten zu veröffentlichen. Arbeitgeber im Data Science-Bereich schauen oft direkt auf praktische Erfahrungen, also zeig, was du drauf hast!
✨Nimm an Meetups und Hackathons teil
Besuche lokale Data Science-Meetups oder nehme an Hackathons teil. Diese Veranstaltungen sind nicht nur super, um dein Wissen zu erweitern, sondern auch Gold wert für Networking. Du lernst Fachkollegen kennen und kannst auf Lockere Art und Weise Eventualjobs ergattern.
✨Direkte Bewerbungen über unsere Seite
Vergiss nicht, direkt auf unserer Website nach Stellenangeboten bei Embedded Shishya zu schauen. Hier kannst du dich auf offene Datenwissenschaftsstellen bewerben und zeigst damit direktes Interesse, das viele Arbeitgeber schätzen!
Wir glauben, dass du diese Fähigkeiten brauchst, um Manager Data Platform Operations mit Bravour zu bestehen
Einige Tipps für deine Bewerbung 🫡
Lass deine Daten sprechen!:In einem Bereich wie Data Science ist es entscheidend, dass du deine praktischen Fähigkeiten präsentierst. Wenn du an Projekten gearbeitet hast, die deine Analysefähigkeiten oder dein Wissen über Machine Learning demonstrieren, teile sie in deinem Lebenslauf oder füge einen Link zu deinem GitHub-Portfolio bei. Die Daten, die du analysiert hast, und die Tools, die du verwendest, sollten klar hervorgehoben werden.
Ergebnisse quantifizieren!:Unterstütze deine Erfahrung mit quantifizierbaren Ergebnissen. Zeige, wie du durch deine Analysen oder Modelle zur Entscheidungsfindung beigetragen hast oder wie deine Berechnungen den Rohdaten neue Erkenntnisse entlockt haben. Arbeitgeber in der Data Science sind oft an konkreten Verbesserungen und Effizienzsteigerungen interessiert!
Erläutere deine Lernbereitschaft!:Da es sich um eine Vollzeitstelle handelt, zeige in deinem Anschreiben, dass du bereit bist, zu lernen und dich weiterzuentwickeln. Sprich über deine Neugier für neue Technologien oder Methoden im Data Science Bereich. Vielleicht hast du auch Kurse besucht oder Zertifikate erworben, die deine Begeisterung zeigen!
Die richtige technische Sprache!:Achte darauf, dass deine Bewerbung alle relevanten technischen Begriffe enthält, die in der Data Science gebräuchlich sind. Nenne spezifische Programmier- und Analysetools wie Python, R oder SQL, die du beherrschst. Dies macht es für die Rekrutierer einfacher, schnell zu erkennen, dass du für die Rolle als Manager Data Platform Operations bei Embedded Shishya gut geeignet bist.
Wie man sich auf ein Vorstellungsgespräch bei Embedded Shishya vorbereitet
✨Bereite deine technischen Skills vor
In einem Vorstellungsgespräch für eine Data-Science-Position wird oft dein Wissen über Tools wie Python, R oder SQL getestet. Mach dich mit gängigen Algorithmen und deren Einsatzmöglichkeiten vertraut, denn technische Fragen können schnell kommen. Lass uns sicherstellen, dass du in diesen Bereichen glänzt!
✨Verschaffe dir einen Überblick über Projekte
Da es sich um eine Vollzeitstelle handelt, ist es wichtig, dass du konkrete Erfahrungen und Projekte vorweisen kannst. Wenn du bereits an Data-Science-Projekten gearbeitet hast, sei bereit, diese in der Tiefe zu erläutern und zu diskutieren, wie du die Probleme gelöst hast. Dein Portfolio kann hier einen echten Unterschied machen!
✨Vorbereitung auf case studies
In Data-Science-Interviews sind case studies und praktische Probleme häufig Teil des Gesprächs. Übe, wie du strukturiert und logisch an solche Aufgaben herangehst. Arbeitgeber möchten sehen, wie du Daten analysierst und Lösungen entwickelst – bring also deine analytischen Fähigkeiten mit!
✨Zeige deine Leidenschaft für Daten
Mehr denn je geht es bei einer Vollzeitstelle darum, dass du nicht nur die Skills hast, sondern auch wirklich für das Feld brennst. Teile Anekdoten oder Erfahrungen, die zeigen, wie du zur Datenwissenschaft gekommen bist und was dich fasziniert. Diese Begeisterung kann für Embedded Shishya entscheidend sein!