Title: Data Architect- Onsite

Location: King of Prussia, PA, USA

Length: Long term

Restriction: W2 or C2C

Description:

Webcam interview *** Long term project *** ***Onsite***

Description:

We are seeking an experienced Data Architect with a proven track record of over 12 years in designing and implementing data architecture solutions. The ideal candidate should possess strong expertise in data modeling, data integration, and database design, with specific exposure to Tableau, Snowflake, and AWS technologies. As a Data Architect, you will be responsible for designing and optimizing the data infrastructure, ensuring the efficient and secure storage, retrieval, and analysis of data to support the business objectives.

Skillset: Databricks experience is a must.

Requirements:

Proven experience as a Data Architect with a minimum of 12 years in designing and implementing data solutions.
In-depth knowledge of data modelling techniques, including conceptual, logical, and physical data models. Experience in designing and implementing data models, data pipelines, and database schemas to support various business applications and reporting needs.
Hands-on experience with Tableau for data visualization and reporting.
Proficiency in cloud-based data solutions, specifically with Snowflake and AWS services (e.g., S3, Redshift, Glue, Athena, etc.).
Strong understanding of data integration patterns and technologies (ETL/ELT).
Experience with data security, data privacy, and data governance best practices.
Experience in performance tuning and optimization activities for large-scale data sets and complex queries.
Familiarity with Big Data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
Excellent analytical and problem-solving skills, with the ability to analyse complex data sets and derive actionable insights.
Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
Proven ability to work in a fast-paced and dynamic environment, handling multiple projects simultaneously.