Senior Enterprise Data Engineer – Data Warehouse & Business Intelligence Platform Development

About arenaflex

Welcome to arenaflex, where we're revolutionizing the way businesses harness the power of their data. As a leading innovator in the technology sector, we pride ourselves on building cutting-edge solutions that transform raw information into actionable business intelligence. At arenaflex, we believe that data is the cornerstone of modern decision-making, and we're on a mission to create a sophisticated analytics platform that empowers our clients to answer not just "what" and "when," but also "what if" – unlocking unprecedented insights that drive strategic growth.

Our Data and Analytics team is at the heart of this mission. We're building a state-of-the-art enterprise data warehouse and business intelligence platform that will serve as the backbone for data-driven decision-making across the entire organization. We're looking for a talented and driven Senior Enterprise Data Engineer to join our team and help us architect, build, and maintain the infrastructure that will power arenaflex's analytical capabilities for years to come.

If you're passionate about data, thrive in collaborative environments, and want to make a significant impact on a transformative initiative, we invite you to explore this exciting opportunity at arenaflex.

Position Overview

We are seeking an experienced and motivated Senior Enterprise Data Engineer to design, develop, and maintain our Enterprise Data Warehouse and Business Intelligence platform. This is a senior-level position that offers the unique opportunity to have a profound impact on the entire organization, driving the data-driven culture that will shape arenaflex's future.

As a key member of our Data and Analytics team, you will work with massive volumes of data and be responsible for transforming it into meaningful, actionable insights. You'll collaborate with cross-functional teams, including business stakeholders, IT resources, and executive leadership, to deliver robust data solutions that meet evolving business needs.

Key Responsibilities

• Data Warehouse Architecture: Design, develop, maintain, and support our Enterprise Data Warehouse and BI platform using various data and BI tools, ensuring scalability, performance, and reliability.
• ETL/ELT Pipeline Development: Create efficient ETL/ELT pipelines using Python and Apache Airflow to streamline data integration from multiple sources into our data warehouse.
• Business Intelligence Reporting: Build ad-hoc reports and automated dashboards using Tableau to support data-savvy users and provide self-service analytics capabilities for C-level executives.
• Database Design: Design and implement DataMarts, data warehouses, and database objects within relational databases including MySQL, SQL Server, and Vertica.
• Stakeholder Collaboration: Foster collaborative relationships with key business sponsors and IT resources to gather requirements and efficiently resolve data-related inquiries.
• Technical Communication: Deliver technical and business topics in a comprehensive 360-degree manner, utilizing written, verbal, and presentation materials as appropriate.
• Quality Assurance: Develop, maintain, and recommend improvements to applications in the areas of standards, procedures, compliance, and quality assurance practices; participate in design and code walkthroughs.
• Release Management: Take ownership of the release process, ensuring smooth deployments and minimal disruption to production systems.
• Continuous Learning: Stay current with relevant technologies, frameworks, and industry best practices to continuously improve our data infrastructure.
• Prioritization: Prioritize work based on highest business impact, managing multiple projects and deadlines effectively in a fast-paced environment.

Essential Qualifications

• Educational Background: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field is required.
• Technical Experience: Minimum of 2+ years of hands-on experience creating data pipelines using Python and Apache Airflow is required.
• Database Expertise: Demonstrated experience designing DataMarts, Data Warehouses, and database objects within relational databases such as MySQL, SQL Server, or Vertica is required.
• SQL Proficiency: Strong capability in SQL and query writing is required, with the ability to optimize complex queries for performance.
• Problem-Solving Skills: Excellent analytical, organizational skills, and the ability to work under pressure to meet tight deadlines.
• Communication Skills: Strong verbal and written communication skills, with the ability to translate technical concepts for non-technical stakeholders.
• BI Tools Experience: Solid experience creating executive-level dashboards and reports using Tableau or similar BI platforms.

Preferred Qualifications

• Experience with cloud data platforms such as Snowflake, Google BigQuery, or Amazon Redshift.
• Knowledge of big data technologies including Apache Spark, Hadoop, or Kafka.
• Experience with data modeling methodologies such as Kimball or Inmon.
• Understanding of data governance and data quality best practices.
• Experience working in Agile/Scrum development environments.
• Advanced degree in a related field is a plus.
• Certification in relevant technologies (e.g., Tableau, AWS, Google Cloud) is advantageous.

Required Skills and Competencies

• Technical Proficiency: Deep expertise in Python programming, SQL, and data warehousing concepts.
• Analytical Thinking: Strong ability to analyze complex data problems and develop innovative solutions.
• Attention to Detail: Meticulous approach to data quality and accuracy.
• Time Management: Excellent ability to prioritize tasks and manage multiple concurrent projects.
• Team Collaboration: Strong interpersonal skills with the ability to work effectively in cross-functional teams.
• Adaptability: Ability to thrive in a dynamic, fast-paced environment with evolving requirements.
• Initiative: Self-motivated with a proactive approach to identifying and addressing challenges.

Career Growth and Learning Opportunities

At arenaflex, we invest in the professional development of our team members. As a Senior Enterprise Data Engineer, you'll have access to numerous opportunities for career advancement and skill enhancement:

• Technical Leadership Paths: Progress into technical lead or principal engineer roles, mentoring junior team members and driving technical strategy.
• Cross-Functional Exposure: Work with various business units, gaining a comprehensive understanding of different domains and processes.
• Training and Certification: Access to professional development programs, conferences, and certifications in cutting-edge technologies.
• Innovation Labs: Opportunity to participate in innovation initiatives and proof-of-concept projects exploring emerging technologies.
• Career Mobility: Potential to transition into data architecture, data science, or analytics management roles as you grow with the organization.

Work Environment and Culture

arenaflex fosters a collaborative, inclusive, and innovative work culture that values diversity of thought and encourages creative problem-solving. Our team members enjoy:

• Flexible Work Arrangements: Remote-first work environment with flexible hours to support work-life balance.
• Modern Tech Stack: Access to cutting-edge tools and technologies for data engineering and analytics.
• Team Culture: Supportive team environment with regular knowledge-sharing sessions and collaborative projects.
• Innovation Time: Dedicated time for exploring new ideas and contributing to innovation initiatives.
• Inclusive Environment: Commitment to diversity and inclusion, ensuring every team member feels valued and respected.

Compensation and Benefits

We offer a competitive compensation package that recognizes your experience and contributions:

• Salary: Competitive hourly rate of $26 per hour (equivalent to approximately $54,000 annually), with the potential for overtime compensation.
• Full-Time Employment: Regular full-time position with consistent hours (8 hours per day, Monday through Friday).
• Health and Wellness: Comprehensive health, dental, and vision insurance coverage.
• Retirement Plans: 401(k) retirement plan with company matching contributions.
• Paid Time Off: Generous paid vacation, sick leave, and holidays.
• Professional Development: Reimbursement for relevant certifications, training programs, and professional memberships.
• Additional Perks: Various workplace benefits and perks to support your overall well-being.

Location

This position is based in Palo Alto, USA, with flexibility for remote work arrangements. Palo Alto is located in the heart of Silicon Valley, offering proximity to leading technology companies and a vibrant professional community.

How to Apply

If you're ready to take the next step in your career and join a dynamic team that's transforming the way organizations leverage data, we encourage you to apply for this exciting opportunity at arenaflex.

We're looking for passionate individuals who are excited about building enterprise-grade data solutions and driving a data-driven culture. If you have the skills and experience we're seeking, we'd love to hear from you.

To apply, please submit your resume and a compelling cover letter highlighting your relevant experience and why you're interested in joining arenaflex. Our hiring team will review applications and reach out to qualified candidates for further discussions.

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, or any other characteristic protected by law.