Data Architect

About the Role

We are looking for an experienced Data Architect to join our Data & AI delivery practice at Endava.
In this role you will work directly with our clients to design and implement modern scalable and secure data architectures that enable analytics AI and digital transformation. You will combine strategic thinking with hands-on technical delivery guiding project teams from data platform design to implementation and operationalization.

The ideal candidate is comfortable engaging with business stakeholders defining architectural blueprints and being part of multidisciplinary delivery teams that turn those designs into working solutions.

Key Responsibilities

• Engage with clients to understand their business objectives data landscape and technology ecosystem

• Design and implement modern data architectures covering ingestion transformation storage and consumption aligned with each clients requirements and technology stack

• Act as the technical authority for data-related decisions within delivery teams ensuring scalability performance and maintainability of implemented solutions

• Work hands-on in projects collaborating closely with data engineers data analysts and cloud specialists to deliver end-to-end data solutions

• Provide technical leadership in setting up and optimizing data platforms in cloud and hybrid environments

• Guide clients on data governance security and compliance best practices

• Contribute to Endavas data architecture & engineering community of practice sharing knowledge and helping evolve delivery standards accelerators and reusable frameworks

Qualifications :

• 7 years of experience in data architecture data engineering or related roles

• Strong expertise in data modeling data integration and data pipeline design for analytical and operational workloads

• Proven experience with cloud-based data ecosystems particularly in one or more of the following:

  • Microsoft Azure (Data Lake Synapse Data Factory Purview)

  • Amazon Web Services (AWS) (S3 Redshift Glue Athena)

  • Google Cloud Platform (GCP) (BigQuery Dataflow Pub/Sub)

• Practical experience with modern data platforms and tools such as Databricks Snowflake dbt Apache Spark or Airflow

• Strong hands-on knowledge of SQL and Python (or Scala) for data engineering tasks

• Familiarity with data governance frameworks metadata management and security-by-design principles

• Proven experience in client-facing environments; ability to translate business requirements into technical data solutions and effectively communicate with both business and technical stakeholders

• Experience leading technical delivery teams and mentoring data professionals.

Additional Information :

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package share plan company performance bonuses value-based recognition awards referral bonus;  
• Career Development: Career coaching global career opportunities non-linear career paths internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions pass-it-on sessions workshops conferences;
• Work-Life Balance: Hybrid work and flexible working hours employee assistance programme;
• Health: Global internal wellbeing programme access to wellbeing apps;
• Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.

At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.

Remote Work :

No

Employment Type :

Full-time