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Cotality

Principal Software Development Engineer

Cotality

. Design scalable data models and processing frameworks supporting batch, streaming, API, analytics, and enterprise data use cases .

Posted 10/21/2026full-timeUnited StatesLead💰 $134,400 - $180,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing scalable data architectures and processing frameworks, with strong proficiency in Google Cloud Platform, Python, and data modeling. Capable of leading engineering workstreams and providing technical guidance while ensuring adherence to data governance and architecture standards.

Highest-signal resume keywords
Enterprise Data Architecture DesignGoogle Cloud Platform (BigQuery, Dataflow)Python ProgrammingData Modeling (SQL, NoSQL)Distributed Data Processing (Apache Beam, Apache Airflow)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ArchitectureData ModelingPythonPySparkSQLNoSQLGraph Databases (Neo4j, Google Spanner)Data WarehousingData LakesData Mesh
Soft Skills
Technical LeadershipCommunicationStakeholder ManagementOrganizational SkillsProblem-Solving
Tools & Technologies
Google Cloud PlatformBigQueryDataflowApache BeamApache Airflow
Industry Keywords
Data GovernanceArchitecture StandardsEnterprise Data StrategyBatch ProcessingStreaming Data Pipelines

Tech Stack

Tools & technologies
AirflowApacheAWSBigQueryCloudGoogle Cloud PlatformNeo4jNoSQLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Design scalable data models and processing frameworks supporting batch, streaming, API, analytics, and enterprise data use cases
  • Establish data architecture standards and support broader data governance and information strategy
  • Develop conceptual, logical, and physical data models defining how data is stored, processed, accessed, and integrated
  • Define and document solution architecture, technical designs, requirements, and implementation approaches
  • Lead an assigned engineering workstream while collaborating with other principal engineers on architecture, design, and technology best practices
  • Provide technical leadership and guidance to engineering and support teams
  • Help resolve complex data architecture and production issues across enterprise systems
  • Support enterprise technology initiatives involving data warehouses, data lakes, data marts, and data mesh architectures

Requirements

What you’ll need
  • Bachelor’s degree in computer science, Engineering, or a related discipline, or equivalent professional experience
  • Strong experience designing enterprise data architecture, data models, and scalable data-processing solutions
  • Hands-on experience with Google Cloud Platform, particularly BigQuery and Dataflow
  • Strong programming experience with Python and PySpark
  • Experience with SQL and NoSQL technologies, including the full lifecycle of database, data warehouse, and data mart design
  • Experience with graph databases or graph-oriented data solutions, such as Neo4j or Google Spanner
  • Experience with distributed data-processing and orchestration technologies such as Apache Beam and Apache Airflow
  • Ability to develop clear architecture documentation, technical designs, standards, and specifications
  • Preferred: experience with both Google Cloud Platform and AWS
  • Preferred: experience designing or supporting batch and streaming data pipelines
  • Preferred: knowledge of enterprise data governance, architecture standards, and technology strategy
  • Preferred: experience with modern data architecture concepts, including data lakes and data mesh
  • Preferred: exposure to AI development frameworks or lifecycle methodologies such as BMAD or Spec Kit
  • Preferred: experience mentoring engineers and guiding teams on architectural practices and technical approaches
  • Ability to independently lead a complex technical workstream from design through delivery
  • Strong communication and stakeholder-management skills
  • Ability to translate business needs into practical, well-architected technical solutions
  • Ability to collaborate with other principal engineers to establish reusable patterns and consistent technology practices
  • Strong organizational, prioritization, and problem-solving skills in a fast-paced engineering environment

Benefits

Comp & perks
  • Generous PTO and 11 paid holidays
  • Well-being and volunteer time off
  • Up to 16 weeks of fully paid parental leave
  • Baby stipend
  • Multiple medical plan options
  • Mental health and wellness support offerings
  • 401(k) with company match and vesting after one year
  • $400 annual well-being stipend
  • Tuition assistance up to $5,250
  • Recognition Rewards
  • Referral bonuses
  • Exclusive discounts
  • Flexible working model
  • Professional growth opportunities