Data Platform Architect
New
100% remote work within the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- KafkaSnowflakeSparkBigQueryRedshiftDatabricks
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- 8+ years of experience in data engineering with strong focus on data architecture and platform design.
- Deep expertise in at least two major data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).
- Strong hands-on experience with distributed processing and streaming technologies such as Spark, Flink, or Kafka.
- Solid understanding of lakehouse architecture, modern data formats, and scalable data modeling techniques.
- Experience implementing data governance, lineage, metadata, and catalog solutions in enterprise environments.
- Strong knowledge of cloud infrastructure, networking, identity management, and cost optimization strategies.
- Proven ability to lead large-scale data platform initiatives across multiple teams.
- Excellent communication, stakeholder management, and architectural documentation skills.
Responsibilities
- Define and evolve the enterprise data platform architecture across ingestion, storage, processing, and consumption layers.
- Establish standards for data modeling, schema design, partitioning strategies, and data lifecycle management.
- Design and optimize modern data architectures including lakehouse, warehouse, and streaming solutions.
- Develop end-to-end data pipelines ensuring performance, reliability, scalability, and cost efficiency.
- Lead implementation of data governance, cataloging, lineage, and metadata management solutions.
- Define and enforce data security architecture including access controls, encryption, and masking.
- Partner with analytics, ML, and business teams to align platform capabilities with consumption needs.
- Provide architectural leadership, conduct design reviews, and mentor engineering teams.
- Drive cloud cost optimization, capacity planning, and operational excellence.
- Design disaster recovery, high availability, and multi-region strategies.
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