Solution Designer / Lead Data Engineer
Core
Architect and lead the end-to-end design of a modern, scalable, automated enterprise Data Ingestion framework transitioning legacy systems to real-time, event-driven cloud workflows.
Role type
Senior Solution Designer / Lead Data Engineer
Builds
Modular, cloud-agnostic data patterns for batch and streaming data across multi-cloud and hybrid environments
Domain
Enterprise Data Engineering / Multi-Cloud Architecture
Deliverable
production ML models | product features
Required skills
Multi-cloud data platform design, Solution Architecture, Ingestion patterns (batch, CDC, streaming), Distributed data tools (Spark, Airflow, Kafka, Snowflake, BigQuery), SQL & Data Modeling, Python/Scala/Java, Infrastructure as Code (Terraform), CI/CD pipelines
Preferred skills
dbt, Apache Iceberg/Delta Lake, Enterprise data catalog frameworks, Regulatory compliance knowledge
Technologies
GCP, AWS, Azure, Apache Spark, Airflow, Kafka, Pub/Sub, Kinesis, Snowflake, BigQuery, Redshift, Terraform
Responsibilities
Author comprehensive Solution Design Documents (SDDs) and architectural blueprints; Provide technical leadership for high-throughput data pipeline engineering; Design secure ingestion interfaces connecting on-premises and SaaS sources to cloud data lakes; Embed automated data quality checks, lineage tracking, and governance controls; Optimize pipeline latency, availability, and multi-cloud costs
Seniority
Senior, hands-on IC with architectural leadership
