Senior Data Architect

Apply today to join Coreforce, where your Data Architect expertise makes a real impact. **Join Our Team as** **** **a** **** **Senior Data Architect** **Company:** Coreforce **Location**: Atlanta **Job Type:** Full-time **Salary:** Based on Experience **Company Overview**: Coreforce is an innovative SaaS company providing digital solutions for frontline professionals. Our products, body cameras, in-car videos, mobile routers, and digital evidence systems help public safety officers and first responders save lives, strengthen community trust, and enhance accountability. **Senior Data Architect** **– Build Your Career with Purpose** Join Coreforce and use your data architect skills to support innovative technology that strengthens communities. **Why** **** **You** **’** **ll** **** **Love Working Here:** **** - Flexible hybrid schedule - Free chef-inspired lunch Mon–Thu - Competitive benefits: medical, dental, vision, 401(k). We provide 401(k) matching per the terms of the 401(k) plan. - 15 PTO days + floating holiday - Annual bonus and tuition reimbursement - Career growth in a fast-growing, mission-driven company - Collaborative, purpose-driven culture **Responsibilities:** **** **Data Architecture and Canonical Modeling** - Define scalable, canonical data models that support product capabilities, integrations, analytics, reporting, and AI-enabled use cases. - Establish enterprise data modeling standards, naming conventions, domain models, schema design practices, and data lifecycle patterns. - Translate business and product requirements into durable logical and physical data models across operational and analytical systems. - Guide engineering teams in designing consistent data contracts, entity relationships, event structures, streaming data models, metadata models, and integration patterns. **Database and Data Store Strategy** - Architect solutions using MySQL, PostgreSQL, MongoDB, and other structured, semistructured, and unstructured data stores. - Design and govern caching strategies using Redis or similar caching technologies to improve application performance and scalability. - Evaluate and recommend appropriate database, storage, indexing, partitioning, replication, and archival strategies based on workload characteristics - Support hybrid data architectures spanning transactional databases, document stores, object storage, search systems, data warehouses, and reporting platforms. **Streaming Data and Event-Driven Architecture** - Design and govern streaming data architectures that support real-time ingestion, event processing, analytics, operational workflows, and downstream integrations. - Define standards for event schemas, message contracts, topic design, partitioning, ordering, retention, replay, dead-letter handling, and consumer resiliency. - Partner with engineering teams to evaluate and implement streaming platforms and patterns such as Kafka, Amazon Kinesis, or comparable event streaming technologies. - Ensure streaming data pipelines meet requirements for scalability, reliability, observability, security, compliance, latency, and data quality. **Performance, Optimization, and Capacity Planning** - Lead database optimization efforts including query tuning, indexing strategy, schema refinement, storage layout, and performance troubleshooting. - Perform capacity planning for data platforms, accounting for growth, retention, throughput, latency, concurrency, and cost. - Define standards for observability, monitoring, alerting, backup, recovery, high availability, and disaster recovery for critical data stores. - Partner with engineering and operations teams to improve reliability, scalability, and cost efficiency of production data systems. **Data Warehousing, BI, and Reporting** - Design and support data warehousing architectures that enable reliable analytics, operational reporting, compliance reporting, and executive dashboards. - Develop dimensional, normalized, and hybrid models appropriate for BI reporti…