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Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and framework design for scalable, reliable data systems enabling real-time personalization, marketing automation, and customer analytics across the Customer Growth portfolio.
Make high-impact technical decisions evaluating complex trade-offs among technologies and methodologies, ensuring alignment with business goals and product roadmaps.
Define and promote global engineering best practices, data governance, and mentor senior and mid-level engineers through code and architecture reviews.
Minimum Requirements
Bachelor’s degree or higher in Computer Science or related field.
8+ years of experience designing and implementing distributed data processing systems using tools like Apache Spark, Flink, Kafka, or Delta Lake/Iceberg.
Expertise in major cloud platforms (AWS, GCP, or Azure) and cloud-native data warehousing solutions such as Snowflake, BigQuery, or Databricks.
Proficiency in Python, Scala, or Java and expert-level SQL.
Ideal Candidate Profile
Experienced in cross-functional collaboration within complex customer growth and data-driven business environments.
Skilled at balancing immediate business needs with long-term technical debt through objective trade-off analysis.
Demonstrated ability to lead by influence, communicating complex technical concepts to non-technical stakeholders effectively.