Data Architect

InfoServ LLC; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

InfoServ LLC in the United States is seeking an experienced Data Architect to design, develop, and maintain scalable, secure data architectures that meet business needs. You will collaborate with business stakeholders, data engineers, analytics teams, and IT leadership to define architectures, models, data governance, and cloud-based data platforms.

The role emphasizes performance, security, and regulatory compliance.

Qualifications

• Experience in data architecture, modeling, and database design.
• Proficient in SQL and relational and NoSQL databases.
• Experience with data warehousing, ETL/ELT, and data integration tools.
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud).
• Familiarity with Snowflake, Databricks, Redshift, or BigQuery.
• Understanding of data governance and regulatory compliance.
• Strong communication and stakeholder management.

Responsibilities

• Design and implement enterprise data architecture across lakes, warehouses, and lakehouse solutions.
• Develop conceptual, logical, and physical data models to support business goals.
• Define data integration, transformation, and migration strategies.
• Establish data governance, data quality, and metadata management standards.
• Ensure data security, privacy, and access controls across platforms.
• Optimize architecture for performance, scalability, and cost efficiency.
• Collaborate with data engineers, BI developers, and analytics teams.
• Define architecture standards, roadmaps, and best practices.
• Evaluate cloud data platforms and emerging technologies for adoption.
• Document designs, data flows, and technical specifications.

Skills

Data architecture

Data modeling

SQL

NoSQL

ETL/ELT pipelines

Cloud platforms

Snowflake

Databricks

Regulatory compliance

Stakeholder collaboration

Tools

Snowflake

Databricks

Redshift

BigQuery

Job description

We are seeking an experienced Data Architect to design, develop, and maintain scalable, secure, and reliable data architectures. The ideal candidate will work closely with business stakeholders, data engineers, analytics teams, and IT leadership to ensure data solutions meet business and technical requirements.

Key Responsibilities

• Design and implement enterprise data architecture, including data lakes, data warehouses, and lakehouse solutions.
• Develop conceptual, logical, and physical data models.
• Define data integration, data transformation, and data migration strategies.
• Establish data governance, data quality, metadata management, and master data management standards.
• Ensure data security, privacy, compliance, and access controls.
• Optimize data architecture for performance, scalability, reliability, and cost.
• Collaborate with data engineers, BI developers, data scientists, and application teams.
• Define architecture standards, technology roadmaps, and best practices.
• Evaluate cloud data platforms and emerging technologies.
• Document architecture designs, data flows, and technical specifications.

Required Skills and Qualifications

• Strong experience in data architecture, data modeling, and database design.
• Proficiency in SQL and relational and NoSQL databases.
• Experience with data warehousing, ETL/ELT pipelines, and data integration tools.
• Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Familiarity with platforms such as Snowflake, Databricks, Amazon Redshift, or Google BigQuery.
• Understanding of data governance, data security, and regulatory compliance.
• Strong communication, problem-solving, and stakeholder management sk