Data Architect

Endava Technology
Romania
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Data architecture","Data modeling","Data integration","Data governance","Security-by-design","Client-facing","Team leadership","Mentoring"]

Experienced Data Architect leading design and implementation of modern, scalable data architectures for analytics, AI, and digital transformation. Engage with clients to define blueprints, guide delivery teams, and ensure governance, security, and best practices across cloud and hybrid environments. Hands-on in end-to-end data solutions, mentoring teams, and contributing to Endava’s data community of practice.

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Endava Technology
Endava Technology
9 months ago

Data Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Experienced Data Architect leading design and implementation of modern, scalable data architectures for analytics, AI, and digital transformation. Engage with clients to define blueprints, guide delivery teams, and ensure governance, security, and best practices across cloud and hybrid environments. Hands-on in end-to-end data solutions, mentoring teams, and contributing to Endava’s data community of practice.
Location: Romania
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

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 client requirements and tech stack
  • •Act as the technical authority for data-related decisions within delivery teams, ensuring scalability, performance, and maintainability
  • •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

Pay and Benefits

Equity and Bonus:Equity
Perks:Learning BudgetRemote WorkHybrid WorkAnnual BonusEquity

Key Requirements

  • •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 (Azure, AWS, GCP) including data lake/storage/services
  • •Practical experience with modern data platforms/tools (Databricks, Snowflake, dbt, Apache Spark, Airflow)
  • •Strong SQL and Python (or Scala) for data engineering tasks
Experience:7+ yearsData architectureData engineeringCloud-based data ecosystemsDatabricksSnowflakeDbtApache SparkAirflowSQLPython
Skills:Data architectureData modelingData integrationData governanceSecurity-by-designClient-facingTeam leadershipMentoring
Languages:English
Tech Stack:AzureMicrosoft AzureData LakeSynapseData FactoryPurviewAWSS3RedshiftGlueAthenaGCPBigQueryDataflowPub/SubDatabricksSnowflakeDbtApache SparkAirflow

Company Brief

Endava Technology
Provides IT services and digital engineering, delivering software development, automation, and consulting to enterprises across financial services, payments, telecommunications, and retail to accelerate digital transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2000
WebsiteLinkedIn