Data Architect

Talentify; Kentucky; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Talentify is seeking a Data Architect to design, implement, and maintain the organization’s data architecture, ensuring data integrity and scalability. The role focuses on leveraging Snowflake and cloud platforms to support analytics and data solutions, with a remote work arrangement across the United States.

You will collaborate with analysts and developers to translate requirements into robust data models, govern data quality and security, and optimize ETL/ELT pipelines for warehousing.

Qualifications

• Experience designing enterprise data architectures and models.
• Hands-on with Snowflake and cloud data platforms.
• Strong knowledge of data governance, security, and metadata management.
• Experience with ETL/ELT and data integration.

Responsibilities

• Develop and maintain enterprise data models, schemas, and standards.
• Define data flows and integration patterns across systems including Snowflake.
• Oversee database design, performance, and capacity planning.
• Govern data quality, security, and compliance; implement data dictionaries.
• Design and optimize ETL/ELT processes for warehousing and analytics.

Skills

Data modeling

ETL/ELT

Data governance

Data integration

SQL

Performance tuning

Tools

Snowflake

Cloud data platforms

Job description

About this job

Title: Data Architect

Duration: 8/31/2026 - 6/30/2027

Work Hours: 8hrs/day – 5days/week

Location: 770 West Broad Street, Columbus, OH 43212

Position: Remote

The Data Architect is responsible for designing, implementing, and maintaining the organization’s data architecture to ensure data integrity, scalability, and accessibility. This role defines how data is stored, consumed, integrated, and managed across systems, aligning with business objectives and technology standards. The architect will also leverage modern cloud data platforms, including Snowflake, to support advanced analytics and scalable data solutions.

Key Responsibilities

• Develop and maintain enterprise data models, schemas, and standards. o Define data flows and integration patterns between systems, including cloud-native platforms such as Snowflake.
• Database Management
• Oversee logical and physical database design for performance and scalability. o Collaborate with DBAs on optimization, capacity planning, and Snowflake performance management.
• Data Governance
• Establish data quality, security, and compliance standards. o Implement metadata management and maintain a data dictionary.
• Integration & ETL
• Design and optimize ETL/ELT processes for data warehousing and analytics, with hands-on experience using Snowflake’s ingestion and transformation capabilities. o Ensure interoperability between on-prem and cloud systems.
• Work with business analysts, developers, and stakeholders to translate requirements into data solutions. o Provide guidance on data modeling best practices.
• Performance & Security
• Ensure data architecture meets performance SLAs and security requirements. o Implement encryption, access controls, and audit mechanisms across both traditional DBMS and Snowflake environments.
• Evaluate emerging technologies (cloud, big data, AI/ML) for adoption. o Recommend improvements to existing data architecture, including Snowflake optimization and new cloud capabilities.