Purchasing Power
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Passionate about Talent Acquisition | HR Operations | Onboarding and Employee Experience I RPO | Project Management | Training
Work at Purchasing Power Who Are We:
Purchasing Power (corp.purchasingpower.com) We are an Atlanta-based voluntary benefit company offering an industry-leading employee purchase program for brand-name consumer products, online education services and travel offerings through convenient payroll deduction, helping employees achieve financial flexibility. The Opportunity:
The Manager of Data Engineering will lead our data platform team in building and scaling enterprise-grade streaming data architectures. You will be a technical leader with deep expertise in the Confluent platform, Apache Kafka, and modern data engineering practices. This role will be responsible for managing a team of data engineers while driving the strategic direction of our real-time data infrastructure. What You Will Do: Lead, mentor, and develop a team of 2-3 data engineers specializing in streaming technologies Provide technical guidance on complex streaming architectures and best practices Conduct performance reviews, career development planning, and technical skill assessments Foster a culture of innovation, collaboration, and continuous learning Technical Strategy & Architecture Define and execute the data engineering roadmap with a focus on real-time streaming platforms Design and oversee the implementation of event-driven architectures using Confluent Platform Establish best practices for stream processing, data governance, and platform reliability Drive platform modernization initiatives and technology adoption decisions across streaming and batch systems Architect integrations between streaming platforms (Kafka) and analytics platforms (Databricks, Snowflake) Collaborate with stakeholders to translate business requirements into scalable technical solutions Platform Operations & Optimization Oversee the management and optimization of Kafka clusters and Confluent Platform deployments Ensure high availability, performance, and scalability of streaming data pipelines Manage platform capacity planning and cost optimization initiatives Demonstrate experience with monitoring tools (JMX metrics, Grafana, Prometheus) for Kafka environments Demonstrate understanding of data lakehouse architectures and multi-platform integration patterns Successfully manage teams through platform migrations or modernization projects The Experience You Will Bring: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field 2+ years of people management experience leading technical teams 5+ years of hands-on data engineering experience with distributed systems Deep expertise in Confluent Platform including Kafka Connect, Schema Registry, ksqlDB, and Control Center Proficiency in Kafka cluster sizing, scaling, and performance optimization Advanced proficiency in Apache Kafka: stream processing, topic design, partitioning strategies, consumer groups, and performance tuning Extensive experience with Apache Airflow for workflow orchestration, DAG development, and pipeline monitoring Expert-level skills in PySpark for large-scale data processing, performance optimization, and cluster management Strong communication skills for working with technical and business stakeholders Proven experience designing event-driven architectures and real-time data pipelines Your Well Being: 401k Retirement Plan Flexible PTO Employee Purchase Program What We Stand For: We act with intensity, urgency and a passion for supporting our customers and growing our business. We strive for excellence. We hold ourselves accountable and expect it of each other. We attack problems with a positive “can do” attitude. We do what we say we’ll do. We deliver as one team, working together with integrity, respect, trust, transparency, and fun. We are better because we work here. We believe our unique diversity and authenticity make us a better company, allows us to be our best selves and is a competitive advantage. We exhibit innate curiosity and creativity to innovate and reimagine how things can be done. We ask, is there a better way? Purchasing Power is an equal opportunity employer. At Purchasing Power, we make all employment decisions, which include hiring, promoting, transferring, demoting, evaluating, compensating and separating, without regard to sex, sexual orientation, gender identity, race, color, religion, age, national origin, pregnancy, citizenship, disability, service in the uniform services, or any other classification protected by federal, state or local law. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries Retail and Financial Services Referrals increase your chances of interviewing at Purchasing Power by 2x Inferred from the description for this job
Atlanta, GA $110,000 - $130,000 3 weeks ago Atlanta, GA $80,000 - $100,000 2 months ago Atlanta, GA $160,000 - $170,000 18 hours ago Atlanta, GA $110,000 - $130,000 5 days ago Platform Manager - Foundry and Data Platforms We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Work at Purchasing Power Who Are We:
Purchasing Power (corp.purchasingpower.com) We are an Atlanta-based voluntary benefit company offering an industry-leading employee purchase program for brand-name consumer products, online education services and travel offerings through convenient payroll deduction, helping employees achieve financial flexibility. The Opportunity:
The Manager of Data Engineering will lead our data platform team in building and scaling enterprise-grade streaming data architectures. You will be a technical leader with deep expertise in the Confluent platform, Apache Kafka, and modern data engineering practices. This role will be responsible for managing a team of data engineers while driving the strategic direction of our real-time data infrastructure. What You Will Do: Lead, mentor, and develop a team of 2-3 data engineers specializing in streaming technologies Provide technical guidance on complex streaming architectures and best practices Conduct performance reviews, career development planning, and technical skill assessments Foster a culture of innovation, collaboration, and continuous learning Technical Strategy & Architecture Define and execute the data engineering roadmap with a focus on real-time streaming platforms Design and oversee the implementation of event-driven architectures using Confluent Platform Establish best practices for stream processing, data governance, and platform reliability Drive platform modernization initiatives and technology adoption decisions across streaming and batch systems Architect integrations between streaming platforms (Kafka) and analytics platforms (Databricks, Snowflake) Collaborate with stakeholders to translate business requirements into scalable technical solutions Platform Operations & Optimization Oversee the management and optimization of Kafka clusters and Confluent Platform deployments Ensure high availability, performance, and scalability of streaming data pipelines Manage platform capacity planning and cost optimization initiatives Demonstrate experience with monitoring tools (JMX metrics, Grafana, Prometheus) for Kafka environments Demonstrate understanding of data lakehouse architectures and multi-platform integration patterns Successfully manage teams through platform migrations or modernization projects The Experience You Will Bring: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field 2+ years of people management experience leading technical teams 5+ years of hands-on data engineering experience with distributed systems Deep expertise in Confluent Platform including Kafka Connect, Schema Registry, ksqlDB, and Control Center Proficiency in Kafka cluster sizing, scaling, and performance optimization Advanced proficiency in Apache Kafka: stream processing, topic design, partitioning strategies, consumer groups, and performance tuning Extensive experience with Apache Airflow for workflow orchestration, DAG development, and pipeline monitoring Expert-level skills in PySpark for large-scale data processing, performance optimization, and cluster management Strong communication skills for working with technical and business stakeholders Proven experience designing event-driven architectures and real-time data pipelines Your Well Being: 401k Retirement Plan Flexible PTO Employee Purchase Program What We Stand For: We act with intensity, urgency and a passion for supporting our customers and growing our business. We strive for excellence. We hold ourselves accountable and expect it of each other. We attack problems with a positive “can do” attitude. We do what we say we’ll do. We deliver as one team, working together with integrity, respect, trust, transparency, and fun. We are better because we work here. We believe our unique diversity and authenticity make us a better company, allows us to be our best selves and is a competitive advantage. We exhibit innate curiosity and creativity to innovate and reimagine how things can be done. We ask, is there a better way? Purchasing Power is an equal opportunity employer. At Purchasing Power, we make all employment decisions, which include hiring, promoting, transferring, demoting, evaluating, compensating and separating, without regard to sex, sexual orientation, gender identity, race, color, religion, age, national origin, pregnancy, citizenship, disability, service in the uniform services, or any other classification protected by federal, state or local law. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries Retail and Financial Services Referrals increase your chances of interviewing at Purchasing Power by 2x Inferred from the description for this job
Atlanta, GA $110,000 - $130,000 3 weeks ago Atlanta, GA $80,000 - $100,000 2 months ago Atlanta, GA $160,000 - $170,000 18 hours ago Atlanta, GA $110,000 - $130,000 5 days ago Platform Manager - Foundry and Data Platforms We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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