Data Architect

Covetus, LLC; Irving (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Covetus, LLC is seeking a Principal Data Architect (Chief Data Office) to lead scalable data architectures across Irving, TX and Charlotte, NC in a hybrid model. You will drive data modeling, security, and integration patterns for batch, streaming, and AI workloads, partnering with engineering and teams to ensure robust data platforms.

The role demands hands-on expertise in SQL, Python, Java, Spark, Kafka, Airflow, APIs, and modern data pipelines, shaping enterprise data strategy and governance.

Qualifications

• Proven ability to design scalable architectures using partitioning, sharding, replication, workload isolation, horizontal scaling.
• Experience architecting batch, streaming, event-driven, real-time, near-real-time, and API-based data integration patterns.
• Strong understanding of how workloads interact with enterprise data platforms (application, analytics, reporting).
• Hands-on with SQL, Python, Java, Spark, Kafka, Airflow, APIs, and data pipeline frameworks.
• Expertise in data modeling across conceptual, logical, physical, dimensional, and domain-driven models.
• Strong knowledge of data security architecture including encryption, tokenization, masking, access controls, audits.

Responsibilities

• Define and govern scalable data architectures for enterprise platforms.
• Design data models and integration patterns supporting AI/ML workloads.
• Evaluate non-functional requirements: latency, throughput, availability, observability, security.
• Collaborate with product, data science, and engineering teams to implement data solutions.
• Ensure governance, security, and compliance across data pipelines.

Skills

Data architecture design

Data modeling

Non-functional requirements

Security architecture

AI/ML workloads

Cross-functional collaboration

Cloud data platforms

Tools

SQL

Python

Java

Apache Spark

Kafka

Airflow

APIs

Job description

Title: Principal Data Architect (Chief Data Office)

Location: Irving, TX/ Charlotte, NC (Hybrid, 2-3 days onsite in a week)

Duration: Fulltime

Desired Qualifications:

• Proven ability to design scalable architectures using partitioning, sharding, replication, workload isolation, horizontal scaling, and distributed processing patterns
• Experience architecting batch, streaming, event-driven, real-time, near-real-time, and API-based data integration patterns
• Strong understanding of how application workloads, analytical workloads, reporting workloads, workflow engines, and AI/ML workloads interact with enterprise data platforms
• Hands-on capability with technologies such as SQL, Python, Java, Spark, Kafka, Airflow, APIs, and modern data pipeline frameworks
• Expertise in data modeling, including conceptual, logical, physical, dimensional, canonical, domain-driven, and event-based models
• Strong knowledge of data security architecture, including encryption, tokenization, masking, access controls, entitlement models, secrets management, and audit logging
• Ability to define and evaluate non-functional technical requirements, including latency, throughput, scalability, availability, resiliency, recovery, observability, security, and maintainability
• Familiarity with designing data architectures that support AI, machine learning, feature engineering, model training, retrieval-augmented generation, vector search, and analytical workloads