Data Solutions Architect - AI

Key Skills

Aartificial intelligence, Apache Hadoop, Apache Kafka, Data Architecture, Data science techniques, Effective communication skills, Java Programming, Machine learning techniques, NoSQL, OLAP, Python Programming, Scala Programming, SPARK Programming, SQL

Job Description

The Data Solutions Architect provides architectural leadership and guidance in their assigned business area, aligning solution development efforts with the broader architectural vision and roadmap. A Technical Architect’s skills and knowledge must include multiple domains (Application/Solution architecture, Technical/Infrastructure architecture, Information/Data architecture), and experience with relevant implementation technology, platforms, and tools. As a leader, a Technical Architect is expected to influence the assigned organization and work independently with senior business and IT leaders, while acting as a mentor and role model within the development teams. The Technical Architect is accountable for successful implementation of architecture in their assigned organization/teams, which requires excellent communication skills, the ability to work with developers of differing skill levels, and the ability to recognize, surface, and resolve architectural issues in a collaborative manner.

Responsibilities

• Responsible for designing and leading a robust, scalable, and secure end2end data architecture that support our business objectives and enable data-driven decision-making
• Collaborate with stakeholders across the organization to define and articulate data strategy and objectives aligned with business goals
• Enable data governance and stewardship, data governance frameworks, data quality controls as well as monitoring mechanisms ensuring alignment on data policies and standards
• Design and develop data models, schemas, and data warehouse architectures that support business intelligence, analytics, and reporting requirements
• Architect efficient data integration pipelines
• Ensure data lineage and traceability across organization's data ecosystem
• Implement data security measures, access controls, and authentication mechanisms to protect sensitive data and ensure compliance
• Implement data retention, archiving, disaster recovery, and business continuity policies and plans
• Monitor data quality, performance bottlenecks, and data flows for efficient and reliable data delivery
• Complete all responsibilities as outlined on annual Performance Plan
• Complete all special projects and other duties as assigned
• Must be able to perform duties with or without reasonable accommodation

Qualifications

• BA / preferably a Master’s degree in computer science, engineering, mathematics or equivalent work experience
• Experience communicating across technical and non-technical audiences, including training, workshops, publications is a plus
• 7+ years of technical specialist, design and architecture experience
• 5+ years of database (e.g. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
• 5+ years of cloud-based solution (AWS/Azure/GCP), system, network and operating system experience
• Experience designing and architecting distributed data systems
• Solid programming skills in Python, Scala, Java, SQL
• Experience with Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
• Experience with Data Warehousing (e.g., SQL, OLTP/OLAP/DSS), Data Science and Machine Learning technologies (including GenAI)
• Nice to have: Experience with Databricks

Mental Requirements:

• Communicating with others to exchange information
• Assessing the accuracy, neatness, and thoroughness of the work assigned

Physical Requirements and Working Conditions:

• Remaining in a stationary position, often standing or sitting for prolonged periods
• Repeating motions that may include the wrists, hands, and/or fingers
• Must be able to provide a dedicated, secure work area
• Must be able to provide high-speed internet access/connectivity and office setup and maintenance
• No adverse environmental conditions expected

Base compensation ranges from $120K to $160K. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.