Ubique Systems
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect in Halifax, UK, with a contract length of "X months" and a pay rate of "£X/hour." Key skills required include expertise in Google Cloud Data Services, SQL optimization, and ETL/ELT architecture.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
-
🗓️ - Date
June 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Halifax, England, United Kingdom
-
🧠 - Skills detailed
#Metadata #Java #Deployment #Jenkins #"ETL (Extract #Transform #Load)" #JSON (JavaScript Object Notation) #Strategy #BigQuery #Data Ingestion #Anomaly Detection #DevOps #IAM (Identity and Access Management) #Data Management #Apache Beam #Data Integration #Cloud #Batch #Terraform #SQL (Structured Query Language) #Databases #Automation #GitLab #Airflow #Documentation #Observability #Security #API (Application Programming Interface) #Monitoring #GitHub #Storage #Python #Data Quality #Data Architecture #dbt (data build tool) #Clustering #Dataflow #Logging
Role description
Data Architect
Halifax, UK
JD:
Key Responsibilities
· Design and implement highthroughput, faulttolerant ingestion pipelines for
batch and streaming data landing in BigQuery.
· Lead data ingestion architecture patterns using Cloud Storage (GCS),
Dataflow, Dataproc, Composer (Airflow), Pub/Sub, BigQuery Storage Write
API, and related services.
Define data loading frameworks, mapping rules, schema evolution strategy,
and metadata management.
Create reusable ingestion blueprints that ensure governance, lineage, and
auditability.
Establish data quality checks, validation rules, reconciliation logic, and
SLAs.
Optimise BigQuery cost, storage, partitioning, clustering, and access
patterns.
Collaborate with security & platform teams to ensure IAM, service
accounts, VPCSC, and encryption policies are fully applied.
Automate CI/CD deployments for ingestion pipelines using Cloud Build,
GitHub, GitLab or Jenkins.
Produce detailed technical documentation and coach engineering squads
in cloud ingestion standards.
Troubleshoot ingestion failures, performance bottlenecks, and
crossplatform data integration issues.
Top 10 Skillset & Qualities (Ideal Candidate)
1. Deep Expertise in Google Cloud Data Services
BigQuery, GCS, Dataflow (Apache Beam), Pub/Sub, Dataproc, Cloud Composer,
Storage Write API.
1. Data Ingestion Engineering Mastery
Handson experience designing frameworks to load data from APIs, files,
databases, event streams, and mainframe/legacy systems into cloud stores.
1. Strong SQL & BigQuery Optimisation Skills
Partitioning, clustering, materialised views, costefficient query design, columnar
storage understanding.
1. ETL/ELT Architecture Knowledge
Experience building transformation pipelines using Airflow, Dataflow, dbt, or
equivalent orchestration tools.
1. File & Format Proficiency
Ability to work with Parquet, Avro, ORC, JSON, CSV, nested/repeated structures,
and schema evolution.
1. Strong Python and/or Java Skills
Used to build Dataflow pipelines, ingestion utilities, automation scripts.
1. Cloud Security & Governance Awareness
IAM roles, leastprivilege models, VPCSC, service accounts, artifact signing, audit
logging.
1. DevOps & CI/CD Familiarity
Cloud Build, GitHub Actions, Terraform, Cloud Deployment Manager or Pulumi.
1. Data Quality & Observability Mindset
Experience implementing validation frameworks, anomaly detection,
reconciliation rules, logging/monitoring (e.g., Cloud Logging, Cloud Monitoring).
1. Excellent Architectural Communication Skills
Ability to document, diagram, and communicate ingestion patterns to
stakeholders at technical and nontechnical levels.
Data Architect
Halifax, UK
JD:
Key Responsibilities
· Design and implement highthroughput, faulttolerant ingestion pipelines for
batch and streaming data landing in BigQuery.
· Lead data ingestion architecture patterns using Cloud Storage (GCS),
Dataflow, Dataproc, Composer (Airflow), Pub/Sub, BigQuery Storage Write
API, and related services.
Define data loading frameworks, mapping rules, schema evolution strategy,
and metadata management.
Create reusable ingestion blueprints that ensure governance, lineage, and
auditability.
Establish data quality checks, validation rules, reconciliation logic, and
SLAs.
Optimise BigQuery cost, storage, partitioning, clustering, and access
patterns.
Collaborate with security & platform teams to ensure IAM, service
accounts, VPCSC, and encryption policies are fully applied.
Automate CI/CD deployments for ingestion pipelines using Cloud Build,
GitHub, GitLab or Jenkins.
Produce detailed technical documentation and coach engineering squads
in cloud ingestion standards.
Troubleshoot ingestion failures, performance bottlenecks, and
crossplatform data integration issues.
Top 10 Skillset & Qualities (Ideal Candidate)
1. Deep Expertise in Google Cloud Data Services
BigQuery, GCS, Dataflow (Apache Beam), Pub/Sub, Dataproc, Cloud Composer,
Storage Write API.
1. Data Ingestion Engineering Mastery
Handson experience designing frameworks to load data from APIs, files,
databases, event streams, and mainframe/legacy systems into cloud stores.
1. Strong SQL & BigQuery Optimisation Skills
Partitioning, clustering, materialised views, costefficient query design, columnar
storage understanding.
1. ETL/ELT Architecture Knowledge
Experience building transformation pipelines using Airflow, Dataflow, dbt, or
equivalent orchestration tools.
1. File & Format Proficiency
Ability to work with Parquet, Avro, ORC, JSON, CSV, nested/repeated structures,
and schema evolution.
1. Strong Python and/or Java Skills
Used to build Dataflow pipelines, ingestion utilities, automation scripts.
1. Cloud Security & Governance Awareness
IAM roles, leastprivilege models, VPCSC, service accounts, artifact signing, audit
logging.
1. DevOps & CI/CD Familiarity
Cloud Build, GitHub Actions, Terraform, Cloud Deployment Manager or Pulumi.
1. Data Quality & Observability Mindset
Experience implementing validation frameworks, anomaly detection,
reconciliation rules, logging/monitoring (e.g., Cloud Logging, Cloud Monitoring).
1. Excellent Architectural Communication Skills
Ability to document, diagram, and communicate ingestion patterns to
stakeholders at technical and nontechnical levels.
