Senior Data Engineer – Senior Manager

Jobtailor; Arizona; On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor seeks a seasoned data architect to lead architecture, pipelines, and BI initiatives for diverse client projects. You will design scalable data platforms, drive analytics strategy, and partner with clients to define success metrics.

The role emphasizes hands-on data engineering, advanced analytics, and proactive collaboration with stakeholders to deliver measurable improvements in performance and decision-making. A strong leadership mindset and executive communication are essential.

Qualifications

• Bachelor’s degree in a relevant field.
• At least 6 years of experience in data analytics or data engineering.
• Advanced skills in data architecture development and pipeline management.
• Proficiency with Python and Java for data analysis.
• Experience with BI tools like QlikView and Oracle BI.
• Strong stakeholder engagement and systems thinking abilities.

Responsibilities

• Leveraging data and analytics to provide strategic insights for clients.
• Developing and implementing innovative solutions to optimize performance.
• Using advanced analytics to support client operations and goals.
• Building and maintaining data pipelines and architectures for BI.
• Implementing data visualization to provide actionable insights.
• Collaborating with stakeholders to address data challenges and opportunities.
• Coaching teams to solve problems and deliver quality results.
• Applying systems thinking to identify underlying problems within projects.
• Validating outcomes with clients and refining solutions based on feedback.
• Directing teams through ambiguous situations with sound judgment.

Skills

Python

Java

Data architecture

Data pipelines

BI tools

Stakeholder engagement

Systems thinking

Team leadership

Education

Bachelor's degree

Tools

DataStage

SQL Server

DB2

Oracle BI

QlikView

Job description

Responsibilities

• Leveraging data and analytics to provide strategic insights and drive informed decision-making for clients
• Developing and implementing innovative solutions to optimize business performance and enhance competitive advantage (solution optimization and roadmap development)
• Utilizing advanced analytics techniques to support client operations and strategic goals (AWS data engineering and Redshift)
• Building and maintaining data pipelines and architectures to support business intelligence efforts (DataStage, ETL)
• Implementing data visualization tools to provide actionable insights and improve client outcomes (SQL Server, DB2)
• Collaborating with stakeholders to identify and address data challenges and opportunities (Managed services, and SLAs)
• Coaching and motivating teams to solve complex problems and deliver quality results
• Applying systems thinking to identify underlying problems and opportunities within client projects (workload orchestration and scheduling)
• Validating outcomes with clients and acting on feedback to refine solutions (CSAT and performance tuning)
• Directing teams through ambiguous and challenging situations with composure and sound judgment

Requirements

• At least a Bachelor's degree
• At least 6 years of experience
• Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
• Demonstrating advanced skills in data architecture development and data pipeline management
• Utilizing Python and Java for complex data analysis and visualization
• Excelling in business intelligence tools like QlikView and Oracle BI
• Leading strategic questioning and stakeholder engagement initiatives
• Applying systems thinking to identify and address underlying problems
• Directing teams through complex and ambiguous situations