Principal - Data Engineering

LTM

$130K — $180K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15-18 years of experience in data engineering/architecture/solution architecture roles
  • Hands-on expertise in Google Cloud Platform, specifically BigQuery and data modeling
  • Knowledge of lakehouse architecture with Iceberg
  • Advanced SQL skills and proficiency in Python and/or Java
  • Solid understanding of data warehousing principles and ELT/ETL patterns
  • Proven experience in designing enterprise-scale data platforms
  • Familiarity with Agile and hybrid delivery models

Responsibilities

  • Define end-to-end data solution architecture on GCP aligned to business, security, and cost goals
  • Design cloud-native data platforms utilizing BigQuery, Cloud Storage, Dataflow, Dataproc, PubSub, and Composer
  • Create architectures enabling advanced analytics, real-time processing, and AI/ML use cases
  • Produce High-Level and Low-Level Design artifacts for enterprise programs
  • Lead legacy data warehouse modernization and translate legacy ETL/SQL into modern ELT/streaming
  • Drive adoption of cloud-optimized data modeling strategies in BigQuery
  • Define architecture standards and enforce best practices for engineering governance

Benefits

  • Opportunity to work on cutting-edge data platforms in a collaborative environment
  • Mentorship opportunities with senior stakeholders and technical authorities
  • Involvement in large-scale data modernization and AI initiatives
  • Hands-on experience with leading cloud technologies
  • A role that combines technical delivery with client engagement
Full Job Description
Role description

GCP Data Solution Architect

Palm Beach Florida Onsite

Role Overview

We are looking for a high impact GCP Data Solution Architect to define design and lead the delivery of modern scalable and secure data platforms on Google Cloud Platform GCP

This role sits at the intersection of architecture delivery and client enablement and will guide large scale data modernization cloud migration and AI ready analytics initiatives

The ideal candidate combines deep hands on GCP expertise strong data architecture fundamentals and the ability to influence senior stakeholders while mentoring delivery teams Below are the MUST have skills

Key Responsibilities

Solution Architecture Design

Define end to end data solution architecture on GCP aligned to business security and cost goals

Design cloud native data platforms centered on BigQuery Cloud Storage Dataflow Dataproc PubSub and Composer Airflow

Create future ready architectures enabling advanced analytics real time processing and AIML use cases

Produce High Level Design HLD and Low Level Design LLD artifacts for enterprise programs

Data Platform Modernization Migration

Lead on prem legacy DW modernization Teradata Oracle SQL Server Hadoop Informatica GCP

Translate legacy ETL and SQL logic into modern ELT and streaming patterns

Drive adoption of cloud optimized data modeling partitioning clustering denormalization in BigQuery

Support phased migrations with minimal business disruption

Engineering Governance Best Practices

Define and enforce architecture standards guardrails and reusable frameworks

Ensure data quality validation lineage cataloging and governance using Dataplex Data Catalog and IAM based security

Optimize performance and cost through workload design query optimization and storage strategies

Embed CICD DevOps and infrastructure as code best practices

Leadership Stakeholder Engagement

Act as technical authority and escalation point for complex architectural decisions

Partner with business leaders product owners and analytics teams to translate requirements into scalable designs

Mentor data engineers and solution designers provide ongoing architectural guidance

Required Qualifications

1518 years of experience in data engineering data architecture solution architecture roles

Strong hands on expertise in Google Cloud Platform with depth in

BigQuery data modeling optimization cost controls

GCS Dataflow Dataproc PubSub Composer

Lakehouse architecture with Iceberg

Advanced SQL expertise and strong Python andor Java skills

Solid grounding in data warehousing principles dimensional models ELTETL patterns

Proven experience designing enterprise scale multi team data platforms

Experience working in Agile hybrid delivery models

Excellent communication and stakeholder management skills

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