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Principal Consultant - Data Architecture

3 days, 18 hours ago
Poland
Full-time
Lead
Data Architect
DevOps and Infrastructure
AWS Azure CI/CD Databricks Docker GCP InfluxDB Kafka Kubernetes MongoDB Oracle PostgreSQL REST API Snowflake SQL SQL Server
Apply Now
Infosys

Infosys

Infosys specializes in providing comprehensive consulting and IT services that facilitate digital transformation for clients across various industries, leveraging advanced technologies and innovative solutions to enhance business processes and drive me...

Internet Software & Services
100K+
Founded 1981
View All Jobs 9

Description

  • Define and govern target enterprise data, integration, and analytics architectures across cloud and hybrid environments.
  • Translate business objectives into scalable, secure, and compliant data solutions and delivery roadmaps.
  • Lead the design of end-to-end data solutions including ingestion, integration, storage, security, processing, analytics, and AI enablement.
  • Guide and support delivery teams through implementation, rollout, and production readiness.
  • Function as the senior technical counterpart for client architects, IT leads, and engineering teams.
  • Mentor and coach data architects, system architects, and engineers and contribute to best practices and reference architectures.
  • Design and govern enterprise data migration programmes including mapping, transformation rules, and data quality remediation.
  • Support pre-sales and solution design activities from a technical perspective.

Requirements

  • 5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics with proven experience leading architecture workstreams or technical teams.
  • Strong client-facing experience in complex enterprise environments.
  • Expertise in modern data architectures and principles (Data Mesh / Data Fabric / data lake / data warehouse) and batch and streaming integration patterns.
  • Hands-on experience with cloud data platforms (Azure, AWS, or GCP) and platform technologies such as Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric.
  • Strong SQL skills and experience with relational databases (Postgres, SQL Server, Oracle) and experience with NoSQL databases (Cosmos DB, MongoDB, InfluxDB).
  • Solid understanding of API-based and event-driven architectures, data pipelines, orchestration, automation, and CI/CD concepts for production-grade deployments.
  • Understanding of distributed systems; Docker/Kubernetes is a plus.
  • Strong knowledge of data management and governance principles including data quality, metadata, lineage, master data management, and security/access control/compliance.
  • Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, and data quality remediation.
  • Nice to have: exposure to advanced analytics / AI/ML / GenAI from an architectural perspective, experience with streaming platforms (Kafka, Azure Event Hubs), hands-on experience with data governance/metadata tools, cloud or architecture certifications, very good English, and willingness to travel for project work.

Benefits

  • Industry-leading (competitive) compensation and benefits package.
  • Top training and development opportunities and clear career paths within a global consulting firm.
  • Opportunity to work on global, high-impact projects with market-leading brands and innovative modern data technologies.
  • Inclusive, entrepreneurial culture within a large global organization offering cross-functional and cross-border mobility.
  • Recognition as a Top Employer and placement on industry 'best firms to work for' lists, reflecting strong employee conditions and development support.

Interested in this position?

Apply directly on the company website

Apply Now

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