Data Architect

Spait Infotech Private Limited

Charing Cross, United Kingdom

4 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Junior

Compensation

£ 110K

Job location

Remote

Charing Cross, United Kingdom

Tech stack

API

Agile Methodologies

Amazon Web Services (AWS)

Azure

Big Data

Google BigQuery

Data Architecture

Data Governance

Data Integration

ETL

Data Systems

Data Warehousing

Software Design Patterns

Dimensional Modeling

Meta-Data Management

NoSQL

Scrum

SQL Databases

Data Streaming

Snowflake

GIT

Data Lake

Data Lineage

Star Schema

Kafka

Data Management

Physical Data Models

Data Delivery

Azure

Software Version Control

Redshift

Databricks

Job description

Design scalable, secure, and high-performance data architectures, including data models, pipelines, and integration solutions.
Develop conceptual, logical, and physical data models aligned with business requirements.
Work closely with data engineers, analysts, and business teams to ensure reliable data delivery and architecture consistency.
Partner with cloud engineers to define and implement cloud-based data platforms (AWS, Azure, or GCP).
Establish best practices for data quality, governance, metadata management, and data lineage.
Lead or contribute to the implementation of modern data technologies (e.g., data lakes, data warehouses, streaming architectures).
Ensure data solutions meet performance, security, privacy, and compliance requirements (including GDPR).
Document architecture, standards, and design patterns for cross-team use.
Participate in Agile/sprint planning, estimation, and technical discussions.
Mentor and support less experienced team members (for mid/senior candidates).

Requirements

Do you have experience in SQL?, * Strong understanding of data modelling techniques (dimensional modelling, star schema, relational/NoSQL concepts).

Experience with modern cloud data platforms, ideally AWS, Azure, or GCP.
Familiarity with data warehouse and data lake technologies (Snowflake, Redshift, BigQuery, Synapse, Databricks).
Proficiency in SQL and experience working with large datasets.
Understanding of ETL/ELT pipeline development and orchestration.
Knowledge of data governance, security, and compliance frameworks.
Awareness of API-based data integration and streaming technologies (Kafka, Kinesis, EventHub).
Experience with version control (Git) and Agile ways of working.
Strong analytical and problem-solving abilities.
Ability to communicate technical concepts clearly to business and engineering stakeholders.
Detail-oriented with a strong focus on reliability and quality.
Ability to work independently within a remote environment.
Collaboration and teamwork mindset.