Data Architect

Michael Page; Addlestone; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading professional services firm based in Addlestone is seeking an experienced data engineer. The role requires 10+ years of experience in data modeling, database design, and a strong command of Azure cloud infrastructure. Responsibilities include designing data architectures, optimizing data processing, and acting as a key contact for data management. Candidates should have strong leadership, communication, and technical skills. This position offers a competitive salary and other benefits.

Benefits

Competitive Salary

PF and Gratuity

Qualifications

• 10+ years of total experience in data modeling and database design.
• 3+ years of experience leading technical teams.
• Strong knowledge of Azure cloud infrastructure.

Responsibilities

• Design and manage end-to-end data architecture solutions.
• Act as a single point of contact for data management queries.
• Identify bottlenecks and optimize queries to enhance data processing speed.

Skills

Data modeling

Azure cloud infrastructure

Python

PySpark

SQL

Data engineering

Leadership

Communication

Education

Bachelor's or master's degree in engineering, computer science, or related fields

Tools

Azure Data Factory

Databricks

Azure Synapse

Erwin

ER/Studio

Job description

Benefits

• Competetive Salary
• PF and Gratuity

About Our Client

Our client is an international professional services brand of firms, operating as partnerships under the brand. It is the second-largest professional services network in the world.

Job Description

Qualifications & Required Skills : Full-Time

bachelor's or master's degree in engineering / technology, computer science, information technology, or related fields.

10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage.

8+ years of experience in data engineering development and support.

3+ years of experience in leading technical team of data engineers and BI engineers. Proficiency in data modeling tools such as Erwin, ER / Studio, or similar tools.

Strong knowledge of Azure cloud infrastructure and development using SQL / Python / PySpark using ADF, Synapse and Databricks.

Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python / PySpark, Logic Apps, Key Vault, and Azure functions.

Strong communication, interpersonal, collaboration skills along with leadership capabilities.

Ability to work effectively in a fast-paced, dynamic environment as cloud SME.

Act as single point of contact for all kinds of data management related queries to make data decisions.

Design and manage centralized, end-to-end data architecture solutions, such as- Data model designs, Database development standards, Implementation and management of data warehouses, Data analytics systems.

Conduct continuous audits of data management system performance and refine where necessary.

Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed.

Work to integrate disparate data sources, including internal databases and external application programming interfaces (APIs), enabling organizations to derive insights from a holistic view of the data.

Ensure data privacy measures comply with regulatory standards.

Preferred

• Azure Data Factory (ADF), Databricks certification is a plus.
• Data Architect or Azure cloud Solution Architect certification is a plus. Technologies we use : Azure Data Factory, Databricks, Azure Synapse, Azure Tabular, Azure Functions, Logic Apps, Key Vault, DevOps, Python, PySpark, Scripting (PowerShell, Bash), Git, Terraform, Power BI, Snowflake