Data Architect

Job Title: Data Architect

Location: Remote – United States

Experience: 7–10 Years

Key Responsibilities

• Design and maintain enterprise data architecture, including data warehouses, data lakes, and lakehouse platforms.
• Define data architecture standards, principles, patterns, and best practices across the organization.
• Develop conceptual, logical, and physical data models to support business and technical requirements.
• Design scalable data integration and ETL/ELT architectures.
• Evaluate and recommend data platforms, databases, cloud services, and integration technologies.
• Define data flow, data lineage, metadata management, and master data management strategies.
• Develop data governance frameworks covering data quality, privacy, security, and compliance.
• Design architectures for batch processing, real-time streaming, and large-scale analytics.
• Collaborate with data engineers, database administrators, data scientists, BI developers, and business stakeholders.
• Establish standards for database design, data access, storage, performance, and lifecycle management.
• Guide engineering teams in implementing architecture designs and resolving complex technical challenges.
• Review existing data environments and recommend modernization, migration, and optimization strategies.
• Ensure data architectures meet scalability, availability, disaster recovery, and cost-efficiency requirements.
• Document architecture decisions, technical specifications, reference architectures, and implementation roadmaps.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field; a master's degree is preferred.
• 7–10 years of experience in data engineering, database architecture, data warehousing, or enterprise data architecture.
• Strong experience designing enterprise data models and data integration solutions.
• Expertise in SQL, relational databases, and database performance optimization.
• Experience with data warehouse and data lake architectures.
• Hands-on knowledge of cloud data platforms such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics.
• Understanding of ETL/ELT pipelines, distributed processing, and data orchestration.
• Knowledge of data governance, data quality, metadata, and data lineage.
• Experience with data security, encryption, access controls, and regulatory compliance requirements.
• Strong communication, technical leadership, documentation, and stakeholder management skills.

Preferred Qualifications

• Experience designing cloud-native data architectures on AWS, Azure, or Google Cloud.
• Familiarity with Databricks, Apache Spark, Delta Lake, and modern lakehouse architectures.
• Experience with streaming technologies such as Apache Kafka.
• Knowledge of data modeling tools such as ERwin, ER/Studio, or equivalent platforms.
• Experience with dbt, Informatica, Talend, or Azure Data Factory.
• Familiarity with data mesh, data fabric, and domain-oriented data architecture.
• Experience with enterprise architecture frameworks and architecture review processes.
• Relevant cloud, data architecture, or data management certifications.