Software Architect - Data Platform
G
Globalization PartnersSaaS, Global Employment
Our diverse, remote-first teams are essential to our success.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Minimum of 15 years in the software industry, with a minimum of 3 years in an architecture position
- Required Skills
- SQLCloud ComputingSparkData modelingDatabricksGenerative AIPySpark
Requirements
- 15+ years of experience in the software industry.
- 3+ years of experience in an architecture position.
- Extensive background in cloud data platform architecture.
- Strong Databricks experience or equivalent Spark-based lakehouse platforms.
- Proven hands-on expertise with SQL and PySpark.
- Experience using agentic AI in the SDLC and GenAI for data workloads.
- Proficiency in data schema design for analytics and reporting.
- Strong understanding of data governance, security, and access control.
- Ability to evaluate Total Cost of Ownership (TCO) and make technology trade-off decisions.
- Effective communication and leadership skills for cross-functional collaboration.
Responsibilities
- Design and drive the execution of a scalable, cloud-native target-state architecture across the end-to-end software platform.
- Define architectural patterns for scalable automated data ingestion.
- Deliver hands-on proof-of-concepts (PoCs) alongside engineering teams using SQL, PySpark, Serverless Python or other platform languages.
- Drive architecture consistency across all platform components to maximize component reuse and eliminate technical debt.
- Act as an SME for data governance designs and implementation.
- Define and enforce data platform security standards and infrastructure security.
- Partner with Product Management to define our application analytics strategy.
- Serve as the strategic sounding board for validating and introducing new technologies and open-source solutions.
- Ensure system and infrastructure architecture design results in high availability, low latency, and minimal service outages.
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