Senior Data Architect - AI-Driven Data Platform (Hybrid)

Coreforcetech; Atlanta (GA); Hybrid; USD 150,000 - 160,000; Full time

Benefits offered by this job

Flexible hybrid schedule

Lunch provided

401(k) matching

PTO 15 days

Annual bonus

Tuition reimbursement

Career growth

Collaborative culture

Job summary

Coreforce is seeking a Senior Data Architect in Atlanta to lead scalable data modeling and enterprise data standards across operational and analytical systems. You will define canonical data models, drive data contracts, and guide engineering on streaming patterns to support AI-enabled use cases.

The role emphasizes collaboration with product and engineering teams, with a hybrid schedule and a strong focus on data governance, performance optimization, and scalable architectures.

Qualifications

• Strong hands-on experience with MySQL and PostgreSQL in production environments.
• Experience with MongoDB and document-oriented data modeling.
• Experience designing solutions across structured, semi-structured, and unstructured data stores.
• Required experience with caching solutions such as Redis, including cache design, invalidation, consistency, and performance tradeoffs.
• Required experience with database optimization, query tuning, indexing, partitioning, replication, and performance troubleshooting.
• Required experience designing and operating data streaming solutions, including event-driven architectures, stream processing patterns, event schema design, and real-time data pipeline reliability.
• Ability to define scalable data models that support operational systems, analytics, integrations, and AI-enabled capabilities.
• Strong communication skills with the ability to explain complex data architecture decisions to technical and non-technical audiences.

Responsibilities

• 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.
• Partner with engineering teams to evaluate and implement streaming platforms and patterns such as Kafka, Amazon Kinesis, or comparable event streaming technologies.

Skills

MySQL

PostgreSQL

MongoDB

Data modeling

Caching

Schema design

Streaming data

Data governance

AI-enabled

Mentoring

Tools

Redis

Kafka

Kinesis

Job description

Coreforce is seeking a Senior Data Architect in Atlanta to lead scalable data modeling and enterprise data standards across operational and analytical systems. You will define canonical data models, drive data contracts, and guide engineering on streaming patterns to support AI-enabled use cases.

The role emphasizes collaboration with product and engineering teams, with a hybrid schedule and a strong focus on data governance, performance optimization, and scalable architectures.