A leading data solutions firm in the United States is seeking an experienced individual to lead data architecture design and implementation. The role involves mentoring data engineers and analysts, ensuring high data performance, and enforcing data security measures. Candidates should have over 10 years of experience in data architecture or engineering, with extensive knowledge of various data platforms and tools. This position offers competitive compensation and benefits, with a minimum salary of $62,000 and a maximum of $217,000.
Qualifications
10+ years of experience in data architecture, engineering, or analytics.
Extensive experience with data platforms like Snowflake or AWS Redshift.
Strong understanding of data modeling techniques and governance frameworks.
Proficient in ETL/ELT pipeline management.
Excellent verbal and written communication skills.
Responsibilities
Lead design and implementation of secure data architectures.
Mentor data engineers and analysts on best practices.
Drive continuous data performance improvements.
Define and enforce data security measures.
Analyze complex challenges and develop innovative solutions.
Skills
Data architecture
Data engineering
Data analytics
Team coordination
Stakeholder management
Client communication
ETL/ELT processes
Data governance
Agile methodologies
Data monitoring
Tools
Snowflake
Azure Synapse
Google BigQuery
AWS Redshift
Apache Airflow
Azure Data Factory
Talend
Informatica
Mulesoft
Terraform
Job description
A leading data solutions firm in the United States is seeking an experienced individual to lead data architecture design and implementation. The role involves mentoring data engineers and analysts, ensuring high data performance, and enforcing data security measures. Candidates should have over 10 years of experience in data architecture or engineering, with extensive knowledge of various data platforms and tools. This position offers competitive compensation and benefits, with a minimum salary of $62,000 and a maximum of $217,000.