About the Role: We are seeking a highly skilled and experienced Data Architect with deep technical expertise in Snowflake and Databricks to lead the design, development, and optimization of our modern data platform. This role will be instrumental in shaping our data architecture strategy, ensuring scalability, performance, and security across our data ecosystem.
Key Responsibilities:
Design and implement scalable, secure, and high-performance data architectures using Snowflake and Databricks.
Lead the migration of legacy data systems to modern cloud-based platforms.
Collaborate with data engineers, analysts, and business stakeholders to define data models, pipelines, and integration strategies.
Optimize data storage, compute, and query performance in Snowflake and Databricks environments.
Establish best practices for data governance, security, and compliance.
Develop and maintain documentation for architecture, data flows, and technical standards.
Evaluate and recommend new tools and technologies to enhance the data platform.
Required Qualifications:
Proven experience as a Data Architect or similar role with a focus on Snowflake and Databricks.
Deep understanding of data warehousing, data lakes, and lakehouse architectures.
Strong proficiency in SQL, Python, and Spark.
Experience with ETL/ELT pipelines, data modeling, and data integration.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Knowledge of data security, privacy regulations, and governance frameworks.
Excellent problem-solving, communication, and leadership skills.
Preferred Qualifications:
Snowflake and/or Databricks certifications or similar
Experience with tools like dbt, Airflow, or Terraform.
Background in machine learning or advanced analytics is a plus.