Architect / Sr(960722)

Classification: Contract
Contract Length: 12-months

Position Summary

As a data architect, you will work closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. This individual is the development team's point of contact that must interface with business partners of varying roles ranging from technical staff to executive leadership.

This role requires contributing to strategic technical direction and system architecture approaches for individual projects and platform migrations. It also requires working closely with others, frequently in a matrixed environment, and with little supervision. This candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision.

Responsibilities

• Responsible for building and supporting a Cloud based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data
• Design the cloud environment data model from a comprehensive perspective, ensuring that it satisfies all the company’s needs
• Develop, manage, and own full data lifecycle from raw data acquisition through transformation to end user consumption
• Share knowledge and experience to contribute to growth of overall team capabilities
• Maintain a holistic view of information assets by creating and maintaining artifacts that illustrate how information is stored, processed, and accessed
• Demonstrate deep understanding and act as a leader in the team’s continuous integration and continuous delivery automation pipeline
• Collaborate with business analysts, project lead, management, and customers on requirements
• Design fit-for-purpose products to ensure products align to the customer's strategic plans and technology road maps
• Actively participate in technical group discussions and adopt any new technologies to improve the development and operations
• Assist team members with production issues and offer support, guidance, and assist in communicating issues with appropriate stakeholders when necessary

Requirements

• Bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or related field.
• 8+ years of experience in data architecture, data modeling, and database design.
• Proven experience designing and implementing large-scale data solutions in enterprise environments.
• Strong background in data governance, metadata management, and data quality frameworks.
• Expertise in data modeling (conceptual, logical, and physical) and data architecture frameworks.
• Hands-on experience with cloud data platforms (e.g., AWS Redshift, Azure Synapse, Google BigQuery, Snowflake).
• Strong understanding of ETL/ELT pipelines and tools (e.g., Informatica, Talend, dbt, Airflow, Matillion).
• Proficiency in SQL and NoSQL database technologies (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).
• Familiarity with data Lakehouse and modern data stack concepts.
• Experience with data integration, APIs, and real-time streaming technologies (Kafka, Spark, etc.).
• Knowledge of data security, compliance, and privacy regulations (GDPR, HIPAA, etc.).
• Strong understanding of BI and analytics tools (e.g., Power BI, Tableau, Looker) and how they interface with data models.
• Familiarity with DevOps and DataOps practices, including CI/CD for data pipelines.