Data Optimization Jobs in Dallas, TX (NOW HIRING)

Description:

Job Summary

We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives. Stellus Rx improves ease and outcomes in every moment that matters, along every health journey. Join our group of talented, committed team members pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible.

The Sr Manager, Data Services for Stellus Rx will help our communities thrive as a key member of the Technology Team. You will work closely with Stellus Rx leaders and across the organization, as we work collaboratively to unlock the health of millions of Americans by turning "use as prescribed" into a guarantee, not a direction. We are a culture that is unabashedly driven by purpose. We are making a difference to our patients and team members while growing at an accelerated rate.

Accountabilities:

• The Senior Manager Data Services plays a pivotal role in shaping our future data asset management capability by facilitating the creation of processes, policies, and standards as well as shaping and laying foundations for the underpinning technologies.
• Provides leadership for data integrity, architecture, modeling, security, DR, and performance tuning in a 24x7 environment consisting of cloud-based solutions.
• Interact with business stakeholders to understand business strategy, scenarios, gaps, issues, and needs to create relevant data strategies and architectures that lead to positive business outcomes.

Role and Responsibilities:

• Lead a team of Data Services professionals tasked with architecting, developing, and managing our Cloud Analytics Data Platform
• Build a modern cloud data stack consisting of Data Lake, Pipelines for ingesting and processing batch and event data, Data warehouses and data linage and cataloging.
• Implementation of system improvements and new technologies aimed at data storage, profiling, processing, management, security, and integration into business applications
• Understanding of existing business applications to support information and solution architecture
• Facilitate the establishment of change management processes to govern data input and maintenance, data stewardship and access control
• Work with key stakeholders across the business to develop and manage key master data business processes, ensuring that we collect and maintain accurate information
• Develop and own process for evaluating and auditing data quality (establish data quality KPIs, etc.) and providing direction to the business for improvement
• Continuously look for data optimization processes and oversee data management, governance, security, and analysis
• Maintaining a solid understanding of workflows, data dependencies and translating business, data, and reporting requirements into logical data structures
• Hire the best talents, identify the potential of each team member, and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions
• Ensure test-driven products/pipelines that are easily maintainable and reusable
• Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources

Requirements:

• Minimum 5+ years of experience in managing, designing, and maintaining large scale data solutions
• Equivalent degree in Computer Science, Math, Statistics, Information Systems, Informatics, Analytics, or another quantitative field
• Experience managing engineers and guiding them through project planning, design, development, quality control, deployment, and data engineering best practices
• Sound knowledge of building data pipelines, datasets, and data architecture from raw and unstructured data
• Hands-on experience analyzing, architecting/re-architecting data platforms on Azure/AWS/GCP
• Experience designing and implementing data ingestion solutions on Azure/AWS/GCP using different approaches
• Must have experience designing and architecting data lakes on cloud platforms.
• Knowledge of data security best practices and experience building secure data solutions
• Advanced working SQL knowledge and experience working with a variety of relational databases, query languages, query authoring, and related tools
• Knowledge of operating NoSQL clusters and event data stores
• Strong problem-solving, analytical, critical thinking, and troubleshooting skills
• Strong knowledge of AWS tools and technologies
• Experience building data products incrementally and managing various integrations and resources
• Industry expertise in data modeling, data mining, and big data processing at scale
• Bilingual in Spanish and English