Data Architect

We are Genzeon Corp(www.genzeon.com), established in 2009, A cutting-edge global digital company with focus on healthcare. Genzeon helps its clients achieve their goals by providing innovative services & solutions to reduce costs, streamline operations, improve experience, increase provider productivity, and advance patient care and satisfaction. Our culture anchors our core values – Human connection, Accountability & Empowerment.

Genzeon has an exciting role of Data Architect on remote basis, to join our team.

Position: Data Architect

Location: Remote

Employment Type: FTE

Job Description

"We are seeking an experienced Data Architect to join our team.

The ideal candidate should have a deep understanding of data architecture principles and practices, as well as experience designing and implementing data solutions.

The Data Architect will be responsible for developing and maintaining data models, designing data storage solutions, and ensuring data quality and integrity.

Must have skills

Proficiency in Python and SQL

Experience working with Linux and AWS

Knowledge of Apache Airflow or similar workflow management tools

Strong analytical and problem-solving skills

Responsibilities:

Design and develop scalable and efficient data solutions that meet business requirements.

Create and maintain data models and documentation.

Develop and implement data migration and transformation strategies.

Work with cross-functional teams to identify and resolve data-related issues.

Collaborate with data engineers and data scientists to ensure data accuracy and consistency.

Ensure compliance with data security and privacy policies and regulations.

Stay up-to-date with emerging technologies and trends in data architecture.

Core Skills for Data Engineer:

Proficiency in Python and SQL

Experience working with Linux and AWS

Knowledge of Apache Airflow or similar workflow management tools

Strong analytical and problem-solving skills

Ability to work independently and in a team environment.

Excellent communication and interpersonal skills

Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.

Experience with data warehousing, ETL, and data integration is highly desirable.

Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.

Qualifications:

Bachelor's or Master's degree in computer science, information technology, or related field

Minimum of 15 years of experience in data architecture or related field

Experience designing and implementing data solutions for enterprise-level organizations.

Strong knowledge of data modeling and database design principles

Knowledge of data governance and compliance requirements

Familiarity with Agile development methodologies and DevOps practices""