Data Architect

Data Architect - W2

Location: Boston - 2 days on-site (preference is for someone local)

Rate: $90 - $110

Contract: 12 months initial

Disclaimer: We will not be accepting C2C or Third parties for this position

We are seeking an experienced Data Architect with expertise in both AWS and Snowflake. The ideal candidate will have hands-on experience designing and implementing data architecture solutions, ensuring that they align with business requirements. This role will involve working closely with various teams to design scalable, high-performance data solutions, focusing on cloud platforms.

Key Responsibilities:

• Design, implement, and manage scalable data architecture solutions in AWS and Snowflake.
• Collaborate with stakeholders to gather and define data requirements.
• Architect and optimize data pipelines, data warehousing solutions, and integration patterns.
• Ensure data models and structures are optimized for performance, scalability, and security.
• Hands-on development and implementation of data solutions, including ETL processes, data lakes, and data warehouses.
• Ensure data quality, integrity, and governance across the organization.
• Lead data migration projects from legacy systems to Snowflake and AWS.
• Develop strategies for data security and access management.
• Work closely with data engineering, BI, and analytics teams to support their data needs.
• Stay up-to-date with new data management technologies and recommend improvements.

Requirements:

• Proven experience in data architecture, data engineering, or similar roles.
• Proven hands-on experience with AWS services (e.g., S3, Redshift, RDS, Glue, Lambda, EC2).
• Strong expertise in Snowflake , including architecture, security, and performance tuning.
• Experience with ETL/ELT pipelines and data integration technologies (e.g., Apache Airflow, AWS Glue, Matillion, DBT).
• Solid knowledge of SQL and data modeling (star/snowflake schema).
• Familiarity with cloud infrastructure and DevOps practices (CI/CD, Terraform, CloudFormation).
• Strong analytical and problem-solving skills.
• Excellent communication skills, with the ability to explain technical solutions to non-technical stakeholders.

Preferred Qualifications:

• Experience in handling large-scale datasets and real-time data processing.
• Familiarity with data governance frameworks and tools.
• Experience with other data platforms (e.g., Databricks, Hadoop) is a plus.
• Relevant certifications in AWS, Snowflake, or data architecture.