Cloud Data Solutions Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and support strategic business and technology solutions that enhance operational efficiency and promote business growth.

• Manage routine elements of solution development, architecture, and management processes.

• Collaborate with business developers, account managers, competency managers, and executive leadership on solution development.

• Supervise the application of strategic solutions and offerings by the business development team.

• Engage in solution-selling initiatives and align marketing strategies with sales and launch plans.

• Examine business landscapes, trends, best practices, architectural frameworks, and partnerships.

• Contribute to the development of solution business plans and assist with financial modeling.

• Aid client activities to resolve gaps or inconsistencies in solutions, architectural designs, deliverables, benefits, and messaging.

• Take part in business development discussions with cross-functional teams and internal and external executive management.

• Identify business requirements and assess market timing, compelling events, and challenges to ensure solutions meet performance expectations.

• Assist healthcare clients in enhancing the health and well-being of the populations they serve.

⛳️ Requirements

• Over 8 years of comprehensive experience in Big Data, Database, and Enterprise Data architecture, delivery, and programming.

• Proficiency in programming languages including Python, Java, and Scala.

• More than 5 years of experience in architecting, developing, releasing, and maintaining Enterprise Data Lake Platforms.

• Experience in building solutions on distributed processing frameworks such as Spark and Hadoop.

• At least 3 years of experience in implementing cloud-based systems.

• Familiarity with AWS and Cloudera/Databricks is preferred.

• Strong SQL skills for creating and maintaining database objects and querying/loading necessary data.

• Experience in data governance, including business glossaries, data dictionaries, data catalogs, data quality, and master data management.

• Proficient with data visualization tools and advancing data literacy within an organization.

• Extensive knowledge of data technologies, tools, and practices, including data modeling, dimensional models, third-normal-form structures, ETL/ELT, change data capture, and slowly changing dimensions.

• Willingness to work a flexible schedule to meet business needs and travel as necessary.

• Video cameras must be utilized during all interviews and throughout the initial week of orientation.

• Capability to work remotely from anywhere within the United States.

🏝️ Benefits

• Flexible work arrangements.

• Opportunities for learning and career advancement.

• Access to technical credentials and certifications.

• Generous and adaptable vacation policy.

• Educational support.

• Leadership and technical development programs.

• Opportunities for travel as part of work (0-10%).

• Flexible scheduling to accommodate business needs and travel.

• 401(k) employer matching.

• Comprehensive health benefits.

• Equal Opportunity Employer and inclusive workplace.