
Senior Big Data Solutions Architect
18 hours ago
We are seeking an experienced Data Engineering Leader to join our team.
- This role is ideal for a seasoned professional with a passion for data-driven solutions and leadership skills to mentor a small team of engineers.
About the Job
This is a hands-on leadership position that requires a strong foundation in SQL and databases, coupled with working experience on big data systems.
- The successful candidate will lead the development and enhancement of data-heavy modules across ad serving, analytics, and reporting systems.
- They will design, optimize, and maintain scalable data pipelines using a mix of SQL, NoSQL, and Big Data tools.
- Experience with streaming platforms like Apache Kafka and Flink for real-time data processing is highly desired.
- Ensuring data reliability, low-latency access, and robustness across internal and external-facing systems is crucial.
- The leader will collaborate with product managers, analysts, and other engineering teams to translate business needs into data solutions.
- Driving code reviews, mentoring junior engineers, and contributing to architectural discussions is essential.
- Maintaining best practices around data governance, schema evolution, and performance tuning is vital.
Requirements
To be successful in this role, you will need:
- 5–8 years of experience working in data engineering or backend roles with a strong data focus.
- Solid command over SQL and RDBMS concepts – query optimization, indexing, schema design.
- Hands-on experience with Big Data and NoSQL technologies – Hive, Spark, Presto, HDFS, Kafka, MongoDB, Cassandra, etc.
- Strong programming skills in Python, Java, or Scala.
- Experience with large-scale data processing, batch & stream pipelines, and performance tuning.
- Exposure to distributed systems or cloud-based data platforms (AWS, GCP, or Azure) is a plus.
- Able to take ownership and drive outcomes while mentoring and growing a small team.
What We Offer
You will have the opportunity to work on:
- Internet-scale data systems – billions of rows processed on a regular basis.
- Solving high-impact problems at the intersection of advertising, machine learning, and data platforms.
- Being part of a high-calibre team with ownership and autonomy from day one.
- A tech-first culture that encourages learning, experimentation, and innovation.
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