Architecture Senior Advisor
Job details
About EvernorthEvernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people.Role Title: Architecture Senior AdvisorPosition Summary:You will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Data & Analytics technologies to develop solutions for automated data pipelines. We are looking for Sr Data Architects and Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Big Data solutions. The work you do will impact millions of customers, members, and employers that rely on The Cigna Group every day. Extreme focus on speed to market and getting Products and Services in the hands of customers and passion to transform healthcare is key to the success of this role.Job Description & Responsibilities:Architecture & Design:Design and architect enterprise-grade data analytics solutions, with a strong focus on building scalable cloud infrastructure using AWS. Ensure that the solutions align with industry best practices and organizational goals.Data Pipelines & Validation: Develop and implement effective data pipelines, processes, and validation mechanisms that support enterprise-level data analytics. Ensure these pipelines are resilient, scalable, and optimized for performance.Project Leadership: Lead project teams in setting technical direction for large-scale data initiatives. Demonstrate the ability to guide cross-functional teams in a complex matrix organization to ensure the successful delivery of data and analytics projects.Collaboration & Liaison Role: Serve as the key liaison to overseas HIH resources working across various data and analytics projects. Collaborate with stakeholders across different functions to translate business requirements into scalable technical solutions.Best Practices & Governance: Advocate for and enforce best practices, including data governance, security standards, and guidelines within all projects. Drive adherence to architectural principles while promoting a focus on quality, security, and performance.Attention to Detail: Exhibit a high level of attention to detail when designing systems, ensuring that every component adheres to organizational standards and operates seamlessly.Proactive Mindset & Problem-Solving: Possess a proactive approach, identifying potential challenges and opportunities for optimization. Demonstrate excellent problem-solving skills with the ability to think critically and creatively to develop data and analytic solutions.Cross-Functional Communication:Convey complex technical concepts to diverse audiences, including technical teams, business stakeholders, and executive leadership. Communicate clearly and effectively to ensure alignment across all levels of the organization.Required Skills:Data Architecture & Cloud Infrastructure: Extensive experience in building large-scale cloud infrastructure, particularly in AWS, with deep knowledge of key services such as S3, EC2, Lambda, Redshift, and others.Pipeline & Process Design: Strong background in designing robust data pipelines, validation mechanisms, and workflows that support enterprise-scale data processing and analytics.Software Engineering Principles:Strong knowledge of data structures, algorithms, and software engineering principles. Ability to apply these principles effectively in designing scalable and maintainable systems.Leadership Experience: At least 3 years of experience in a leadership role setting technical direction and guiding project teams through complex projects.Matrix Organization Experience: Minimum of 3 years of experience working in complex matrix organizations, coordinating cross-functional or cross-business projects, and driving successful outcomes.Analytical & Problem-Solving Skills: Proven ability to think critically, solve complex problems, and implement data and analytic solutions with a focus on innovation and efficiency.Proactive & Independent Work Style: Demonstrates a proactive mindset, with the ability to work independently or collaboratively in fast-paced, dynamic environments.Communication Skills: Strong communication skills, both verbal and non-verbal, with the ability to effectively convey complex technical concepts to diverse audiences.Attention to Detail:Strong attention to detail in system design, ensuring that solutions are reliable, optimized, and in line with business and technical requirements.Preferred Skills:Experience with Databricks platform, Snowflake platform, Teradata platform and data engineering concepts.Familiarity with data governance and security practices in cloud environments.Advanced proficiency in SQL, Python, or Scala for data processing and analytics.Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging.Required Experience & Education:Experience: 13 to 16 years of experience in data architecture, systems engineering, or solution architecture, particularly within the data analytics or cloud computing space.Technical Experience: Proven experience building enterprise-level data and analytics solutions on AWS, with an emphasis on scalability, performance, and security.Leadership: At least 5 years of leadership experience, managing technical teams and setting direction in complex environments.Matrix Organization: A minimum of 6 years of experience working in a matrix organization, managing cross-functional or cross-business projects.Education: Bachelors degree in Computer Science, Information Systems, Artificial Intelligence, or a related field. ATS
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