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Hybrid Data Manager chez Rackspace

Rackspace · États-Unis d'Amérique · Hybrid

Python

SQL

AWS

DevOps Automation Tools

Microsoft Excel

Backend

Software Engineer

Cloud

Postuler maintenant
Role Overview
We are seeking a highly skilled and experienced Data Manager to lead the development, governance, and utilization of enterprise data systems. This is a strategic leadership role focused on ensuring seamless and secure flow of data across our platforms and teams, enabling timely and accurate access to actionable insights.
The ideal candidate brings a strong foundation in data architecture, governance, and cloud-native systems, combined with hands-on experience managing cross-functional teams and implementing scalable, secure, and cost-efficient data solutions.


Your Objectives
  • Optimize data systems and infrastructure to support business intelligence and analytics.
  • Implement best-in-class data governance, quality, and security frameworks.
  • Lead a team of data and software engineers to develop, scale, and maintain cloud-native platforms.
  • Support data-driven decision-making across the enterprise


    • Key Responsibilities
  • Develop and enforce policies for effective and ethical data management.
  • Design and implement secure, efficient processes for data collection, storage, analysis, and sharing.
  • Monitor and enhance data quality, consistency, and lineage.
  • Oversee integration of data from multiple systems and business units.
  • Partner with internal stakeholders to support data needs, dashboards, and ad hoc reporting.
  • Maintain compliance with regulatory frameworks such as GDPR and HIPAA.
  • Troubleshoot data-related issues and implement sustainable resolutions.
  • Ensure digital data systems are secure from breaches and data loss.
  • Evaluate and recommend new data tools, architectures, and technologies.
  • Support documentation using Atlassian tools and develop architectural diagrams.
  • Automate cloud operations using infrastructure as code (e.g., Terraform) and DevOps practices.
  • Facilitate inter-team communication to improve data infrastructure and eliminate silos.


    • Leadership & Strategic Duties
  • Manage, mentor, and grow a high-performing data engineering team.
  • Lead cross-functional collaboration with backend engineers, architects, and product teams.
  • Facilitate partnerships with cloud providers (e.g., AWS) to leverage cutting-edge technologies.
  • Conduct architecture reviews, PR reviews, and drive engineering best practices.
  • Collaborate with business, product, legal, and compliance teams to align data operations with enterprise goals.


    • Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 10–15 years of experience in enterprise data architecture, governance, or data platform development.
  • Expertise in SQL, data modelling, and modern data tools (e.g., Snowflake, dbt, Fivetran).
  • Deep understanding of AWS cloud services (Lambda, ECS, RDS, DynamoDB, S3, SQS).
  • Proficient in scripting (Python, Bash) and CI/CD pipelines.
  • Demonstrated experience with ETL/ELT orchestration (e.g., Airflow, Prefect).
  • Strong understanding of DevOps, Terraform, containerization, and serverless computing.
  • Solid grasp of data security, compliance, and regulatory requirements


    • Preferred Experience (Healthcare Focused)
  • Experience working in healthcare analytics or data environments.
  • Familiarity with EHR/EMR systems such as Epic, Cerner, Meditech, or Allscripts.
  • Deep understanding of healthcare data privacy, patient information handling, and clinical workflows


    • Soft Skills & Team Fit
  • Strong leadership and mentoring mindset.
  • Ability to manage ambiguity and work effectively in dynamic environments.
  • Excellent verbal and written communication skills with technical and non-technical teams.
  • Passionate about people development, knowledge sharing, and continuous learning.
  • Resilient, empathetic, and strategically focused.


    • What We Offer
  • Competitive compensation with performance-based bonuses.
  • Hybrid and flexible work environment.
  • Career development programs and learning support.
  • A diverse and collaborative culture driven by innovation and impact.
    • Postuler maintenant

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