
Senior Python Pipeline Architect
5 days ago
About This Role:
We are seeking a highly skilled Senior Python Engineer to lead our team in developing scalable data pipelines using Apache Beam and Databricks.
Key Responsibilities- Pipeline Architecture
- Create a shared component library/SDK for ingestion, parsing/extraction, validation, enrichment, and publishing.
- Define standard patterns/templates for Apache Beam pipelines and Databricks jobs; standardize configuration, packaging, versioning, CI/CD, and documentation.
- Design pluggable interfaces for multiple teams to swap extractors (Regex/LLM), OCR providers, and EMR publishers without code rewrites.
- Determine the repository strategy for each use case.
- Performance Optimization
- Own end-to-end profiling and tuning: cProfile/py-spy/line_profiler, memory (tracemalloc), CPU vs I/O analysis.
- Instrument services with Elastic APM and correlate traces/metrics with Splunk logs; build dashboards and runbooks.
- Implement concurrency best practices: asyncio for I/O-bound, ThreadPool/ProcessPool for CPU-bound, batching, rate limiting, retries, etc.
- Enforce robust LLM API rate limiting/governance: provider TPM and concurrency caps, request queueing/token budgeting, and emit APM/Splunk metrics (throttle rate, queue depth, cost per job) with alerts.
- Establish Service Level Objectives/alerts for throughput, latency, error rates; set up Dead Letter Queues and recovery patterns.
- Team Enablement
- Mentor developers, lead design reviews, codify best practices, write clear documentation and examples.
- Partner with Machine Learning engineers on the future LLM/SLM path (evaluation harness, safety/PII, cost/perf).
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