Who are we
Circana is a leading provider of market research, data analytics, and consumer insights, serving over 7,000 global brands across 26 industries. Formed through the merger of IRI and NPD, Circana leverages decades of expertise and its proprietary Liquid Data platform to help businesses understand consumer behavior, measure market performance, and drive growth. Headquartered in Chicago, the company combines advanced technology, AI, and a vast data ecosystem to deliver actionable intelligence to clients in retail, manufacturing, and consumer packaged goods sectors
Learn more at www.circana.com.
What will you be doing
We are seeking a visionary and technically proficient Engineering Manager to lead our cloud data warehouse initiatives and drive innovation across our data platforms. This role combines strategic leadership, technical depth, and operational excellence, with a strong focus on cloud-native development, analytics enablement, and in-house tool adoption.
Job Responsibilities
- Lead and manage a high-performing team of data engineers across multiple projects and geographies.
- Define and drive the architecture of scalable, secure, and cost-effective cloud-based data warehouse solutions.
- Oversee the development of robust ETL/ELT pipelines using PySpark, Python, and SQL.
- Champion the adoption, integration, and enhancement of in-house data tools, ensuring alignment with business and technical goals.
- Collaborate with business, analytics, and product teams to translate data requirements into actionable solutions.
- Write efficient, reusable and well documented code
- Maintain and tune existing Spark applications to the fullest.
- Find opportunities for optimizing existing spark applications.
- Work closely with QA, Operations and various teams to deliver error free software on time.
- Actively lead / participate daily agile / scrum meetings.
- Establish and enforce engineering best practices, including code quality, testing, documentation, and CI/CD.
- Drive data governance, quality, lineage, and compliance across platforms.
- Manage vendor relationships, and strategic partnerships related to data infrastructure.
- Mentor senior engineers and technical leads, fostering a culture of innovation and continuous improvement.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 13-20 years of experience in data engineering, with a strong focus on cloud-native data solutions.
- Deep expertise in Python, PySpark, and SQL for data processing and analytics.
- Proven experience with Cloud platforms (AWS, Azure, or GCP) and their data services.
- Strong understanding of data warehousing concepts, data modeling, and distributed systems.
- Experience working with and enhancing internal/in-house tools for data processing and analytics.
- Excellent leadership, communication, and stakeholder management skills.
- Experience with orchestration tools like Apache Airflow
- Knowledge of BI tools (e.g., Power BI, Tableau) and data visualization best practices.
- Experience in Agile environments and DevOps practices.
Experience: 13-20 Years
Tech Stack: Data Engineering, Python, Pyspark, SQL, Any Cloud
Location: Whitefield, Bangalore (Hybrid Model)
