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Join arenaflex as a Data Engineering Manager – Shape the Future of Data Innovation
Are you ready to lead cutting-edge data initiatives in a dynamic, forward-thinking organization? arenaflex is seeking a talented and passionate Data Engineering Manager to join our growing technology team. This is a fantastic opportunity to drive data strategy, mentor talented engineers, and build scalable data solutions that power business intelligence across the organization.
At arenaflex, we believe that data is the cornerstone of modern business transformation. We're looking for a leader who shares our vision for leveraging cloud technologies to unlock actionable insights and deliver measurable business value. If you're a technical visionary with a proven track record in Azure cloud data architecture and a passion for nurturing talent, we want to hear from you!
About arenaflex
arenaflex is a forward-thinking company committed to innovation, excellence, and collaboration. We pride ourselves on fostering a culture where creativity thrives, diversity is celebrated, and every team member has the opportunity to grow professionally. Our technology teams work on challenging projects that push the boundaries of what's possible with data and cloud computing.
As part of our team, you'll work alongside industry experts, contribute to meaningful projects, and play a pivotal role in shaping our data infrastructure. We offer competitive compensation, comprehensive benefits, and a supportive work environment that encourages continuous learning and professional development.
Position Overview
We are looking for an experienced Data Engineering Manager to lead our data engineering initiatives with a focus on Azure cloud platforms. In this role, you will be responsible for designing, building, and maintaining robust data architectures that support our analytics and business intelligence needs. You will oversee the entire data lifecycle—from ingestion and storage to processing and serving—ensuring data quality, security, and accessibility across the organization.
This position requires a unique blend of technical expertise, leadership skills, and strategic thinking. You'll work closely with stakeholders from various departments to understand their data requirements and deliver solutions that meet their needs. Additionally, you will mentor and guide a team of data engineers, fostering a culture of excellence and continuous improvement.
Key Responsibilities
As a Data Engineering Manager at arenaflex, your primary responsibilities will include:
- Data Architecture Design and Implementation: Plan and implement comprehensive data storage solutions, including all layers of data architecture (ingestion, storage, and serving layer) using Azure cloud technologies. Ensure the architecture is scalable, reliable, and optimized for performance.
- Data Processing and ETL Development: Design and develop robust data processing pipelines using various ETL tools for data ingestion, cleaning, transformation, and job scheduling. Leverage modern data processing frameworks to ensure efficient and accurate data flow.
- Data Security and Governance: Plan and implement comprehensive data security measures, including role-based access control, data masking, and encryption of sensitive information. Ensure compliance with data protection regulations and company security policies.
- Performance Monitoring and Optimization: Monitor and optimize data storage and data processing systems using advanced monitoring tools. Implement file partitioning strategies and query tuning techniques to maximize performance and reduce costs.
- Technology Stack Expertise: Demonstrate extensive hands-on experience working with Azure Synapse Pipelines (Azure Data Factory experience is also valuable), Spark Pools, Synapse SQL Pools, and SQL Managed Instances. Build expertise in cloud-native data solutions.
- Stakeholder Management: Effectively manage relationships with business partners and drive timely project execution using agile methodologies. Translate business requirements into technical solutions and ensure alignment with organizational goals.
- Solution Development: Build solid and scalable technology solutions in a fast-paced work environment. Evaluate emerging technologies and recommend improvements to enhance our data platform capabilities.
- Team Leadership and Mentorship: Lead and mentor other team members on technical skills and best practices. Foster a collaborative and innovative team culture that encourages knowledge sharing and professional growth.
Essential Qualifications and Skills
To succeed in this role, you should possess the following qualifications and skills:
- Educational Background: A college degree in Computer Science, Information Technology, or a related field is required. Equivalent professional experience will also be considered.
- Cloud Technology Expertise: Deep understanding of Azure cloud technologies with a proven track record of delivering large-scale projects on time. Strong familiarity with Azure services and their application in data engineering scenarios.
- Azure Data Pipeline Experience: Strong knowledge of Azure Synapse Data Pipelines (Azure Data Factory experience is also acceptable). Hands-on experience designing and implementing data workflows in the Azure ecosystem.
- Programming and Query Languages: Strong proficiency in PySpark, Spark SQL, and T-SQL. Experience working with dimensional modeling and data warehousing concepts.
- Azure Functions: Good to have knowledge of Azure Functions Application development, particularly those coded in Python. Experience with serverless computing is a plus.
- Agile Methodology: Excellent understanding of Agile principles and practices to deliver consistent project results. Experience working in Scrum or Kanban environments.
- Data Passion: Highly motivated individual with a strong affinity for data and exceptional analytical abilities. Thrive on solving complex data challenges and turning them into actionable insights.
- Professional Certification: Ideally, possession of the DP-203 certification (Microsoft Certified: Azure Data Engineer Associate) or willingness to obtain it within a reasonable timeframe.
Preferred Qualifications
While the essential qualifications listed above are mandatory, the following attributes will give you a competitive edge:
- Experience managing and leading data engineering teams in a corporate environment.
- Knowledge of other cloud platforms such as AWS or Google Cloud, in addition to Azure.
- Experience with big data technologies such as Hadoop, Kafka, or Databricks.
- Understanding of data governance frameworks and best practices.
- Strong communication skills with the ability to present complex technical concepts to non-technical stakeholders.
- Proven track record of successfully delivering data projects on time and within budget.
Career Growth and Development Opportunities
At arenaflex, we invest in the growth and development of our employees. As a Data Engineering Manager, you will have access to numerous opportunities for professional advancement, including:
- Technical Leadership Paths: Progress into senior technical leadership roles or specialize in architecture and strategy.
- Skill Development: Access to comprehensive training programs, certifications, and conferences to enhance your technical and leadership skills.
- Mentorship Programs: Both receive mentorship from senior leaders and mentor junior team members, fostering a culture of knowledge sharing.
- Cross-Functional Exposure: Work with diverse teams across the organization, gaining insights into various business domains.
- Innovation Projects: Participate in hackathons, proof-of-concept projects, and innovation initiatives.
Work Environment and Culture
arenaflex offers a flexible and inclusive work environment that promotes work-life balance. As a remote position, you'll have the autonomy to work from anywhere while staying connected with your team through collaboration tools and regular communication.
Our culture is built on trust, respect, and collaboration. We believe in empowering our employees to make decisions and take ownership of their work. You'll be part of a supportive team that values diverse perspectives and encourages creative problem-solving. At arenaflex, your contributions matter, and your voice will be heard.
Compensation and Benefits
We offer a competitive compensation package that reflects your skills, experience, and the value you bring to arenaflex. The starting hourly rate for this position is $25 per hour, with opportunities for performance-based bonuses and career advancement.
In addition to competitive pay, arenaflex provides a comprehensive benefits package that includes:
- Health, dental, and vision insurance coverage.
- Retirement savings plans with company matching.
- Paid time off and holidays.
- Professional development reimbursement.
- Wellness programs and employee assistance resources.
- Flexible work arrangements and remote work options.
How to Apply
If you're ready to take the next step in your career and join a dynamic team at arenaflex, we encourage you to apply today! Please click the "Apply Online" button below and follow the steps to submit your application. Be sure to include your resume, a cover letter highlighting your relevant experience, and any certifications you hold.
We are excited to learn about your background and how you can contribute to our data engineering initiatives. At arenaflex, we believe in providing equal opportunities to all job applicants, regardless of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Diversity and inclusion are core values at arenaflex, and we welcome applicants from all backgrounds.
Join arenaflex and be part of a team that's shaping the future of data innovation. We look forward to receiving your application!