Architecture Senior Advisor

Cigna Healthcare

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field and 5 years of relevant experience.
  • Strong expertise in data profiling and analysis.
  • Proven ability to create data architecture frameworks and governance models.
  • Experience developing logical and physical data models tailored to business needs.
  • Familiarity with maintaining ETL pipelines in Informatica and generating dashboards in Tableau.
  • Proficient in SQL and using Erwin for data modeling.
  • Knowledge of data management in regulated healthcare environments.

Responsibilities

  • Design and implement data architecture and data models for Reporting & Analytics applications.
  • Review and optimize existing data models to meet evolving data requirements.
  • Collaborate with stakeholders to understand reporting and analytics needs for scalable data solutions.
  • Work with development teams to build data flows and implement data strategies.
  • Serve as a Subject Matter Expert in Data Architecture using AWS services, focusing on high-efficiency design.
  • Mentor junior developers on best practices in data querying and optimization.
  • Support visual product development standards across all stages of project delivery.

Benefits

  • Work from home option available.
  • Opportunity to mentor junior team members.
  • Engage in an agile work environment for dynamic project execution.
  • Access to cutting-edge technology, including AWS services.
Full Job Description
Cigna-Evernorth Services Inc. seeks an Architecture Senior Advisor for the St. Louis, MO location to design and implement major components and domains of the data architecture and data models to modernize and transform our company's Reporting & Analytics applications.

Responsibilities:
• Focus on source system knowledge, data analysis, business requirements and providing conceptual, logical and physical data model designs to support various initiatives in an agile environment.
• Review existing data models to understand the current environment and recommend changes to optimize data requirements.
• Work closely with the upstream data owners, business stakeholders, and analysts to understand reporting and analytics end state in order to drive the creation of scalable and documented data design solutions.
• Work with the development team to implement data strategies, build data flows, and develop conceptual data models.
• Act as a Subject Matter Expert in Data Architecture and Database design using AWS services including Redshift and PostgreSQL, specializing in designing high-efficiency, scalable, and reusable architectures.
• Conduct programming and querying using SQL and Spark.
• Mentor junior developers and analysts to adopt best practices in query design and performance optimization.
• Build logical and physical data models utilizing industry best practices.
• Work closely with the business intelligence team to implement/publish a data access layer in the data lake that is optimized for reporting and analytical needs based on business requirements.
• Support and evolving standards for all cycles of visual product development including requirements, prototyping, code development, versioning, documentation, and maintenance.
• Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
• Collaborate with product owners, scrum masters, program manager and team members in a Scaled Agile framework.
• Work from home benefit available.

Qualifications:
• Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering or related field and 5 years of experience.
• Requires experience with: Data Profiling/Data Analysis;
• Creating data architecture framework and governance model based on enterprise data strategy;
• Creating logical and physical data models based on business requirements;
• Creating and implementing new designs for better performance and eliminating redundant data for large scale Enterprise Data Warehouses;
• Creating technical specs such as Mapping documents and Function Data Requirements;
• Creating Data Models for both Operational and Transactional Systems;
• Forward engineering data models in databases including Oracle, MySQL, and PostgresSQL;
• Maintaining ETL pipelines in Informatica;
• Creating mappings to move data from SQL Server to a Salesforce environment;
• Creating completeness check, length check, and pattern check mapplets for data governance rules in Redshift and MySQL;
• Designing and implementing distributed data pipelines and integration architecture in cloud and on-premises environments including Salesforce, Oracle, and SQL Server;
• Working on generating dashboards in Tableau;
• Managing data in regulated healthcare environments;
• Relational databases, NoSQL, data stores, cloud technology, Spark, Amazon Web Services (AWS); and
• Using: SQL and Erwin.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

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