Senior Data Solutions Architect

If you are a self-motivated individual with a passion for data and a track record of delivering innovative data solutions, we want to hear from you! Join our team as a Senior Data Solutions Architect and be a key contributor to our data-driven success.

Position: Senior Data Solutions Architect

Location: New York, New York, United States

Salary: $123 Per hour

Job Description: We are seeking a highly experienced and motivated individual to join our team as a Senior Data Solutions Architect. As a Senior Data Solutions Architect, you will play a crucial role in designing and implementing data solutions for our organization. You will be responsible for developing and maintaining a robust data architecture that meets the needs of our company and enables us to make strategic decisions based on data-driven insights.

Key Responsibilities:

• Lead the development and implementation of data solutions that align with our business needs and objectives.
• Work closely with business stakeholders to understand their data requirements and provide strategic guidance on how to leverage data to drive business growth.
• Design and implement data models, data warehouses, and data lakes to support various business functions, including marketing, sales, finance, and operations.
• Collaborate with cross-functional teams to identify and integrate new data sources into our existing data architecture.
• Ensure the security, accuracy, and integrity of our data by implementing best practices and data governance policies.
• Develop and maintain data pipelines to extract, transform, and load data from various sources into our data warehouse.
• Perform data analysis and provide insights to support decision making and drive business growth.
• Troubleshoot and resolve data issues to ensure the availability and accuracy of data for business users.
• Keep up-to-date with industry trends and technologies, and make recommendations for continuous improvement of our data architecture.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Minimum of 7 years of experience in data architecture, data engineering, or a similar role.
• Strong experience in designing and implementing data models, data warehouses, and data lakes.
• Proficient in SQL, ETL tools, and data visualization tools.
• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
• In-depth knowledge of data governance, data security, and data quality best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills to collaborate with cross-functional teams.
• Ability to work in a fast-paced and dynamic environment.