Overview
We are looking for a Data Architect to design, implement, and maintain scalable data architectures that support analytics, reporting, and data-driven decision-making. The Data Architect will define data models, data standards, and data integration strategies to ensure data is accessible, reliable, secure, and optimized for performance across the organization.
This role works closely with data engineers, analysts, software engineers, and business stakeholders to ensure the data infrastructure aligns with business needs and technology strategy.
Responsibilities
Design and maintain enterprise data architecture, including data models, data warehouses, and data lakes.
Define data standards, governance frameworks, and architecture principles.
Develop logical and physical data models to support operational and analytical systems.
Ensure scalability, reliability, and performance of data platforms.
Architect ETL/ELT pipelines for data ingestion, transformation, and storage.
Integrate data from multiple internal and external sources.
Define best practices for data quality, lineage, and metadata management.
Evaluate and select appropriate data technologies, tools, and platforms.
Design cloud-based or hybrid data architectures (e.g., AWS, Azure, GCP).
Ensure the architecture supports real-time, batch, and streaming data workflows.
Data Governance & Security
Establish data governance policies and standards.
Ensure compliance with data privacy regulations and security practices.
Define access controls and data lifecycle management strategies.
Work with data engineers, analysts, product teams, and leadership to align data architecture with business goals.
Provide technical guidance and architectural direction for data initiatives.
Document architecture, standards, and best practices.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
5+ years of experience in data architecture, data engineering, or related roles.
Strong experience with data modeling (dimensional, relational, and NoSQL).
Experience designing data warehouses and data lake architectures.
Knowledge of ETL/ELT tools and data integration frameworks.
Proficiency with SQL and large-scale data processing systems.
Experience with cloud platforms (AWS, Azure, or GCP).
Preferred Qualifications
Experience with modern data stacks (Snowflake, BigQuery, Redshift, Databricks, etc.).
Knowledge of data governance tools and metadata management.
Experience with streaming platforms (Kafka, Spark Streaming, etc.).
Familiarity with machine learning data pipelines.
Certifications in cloud or data architecture.
#J-18808-Ljbffr