Enterprise Data Architect

Infosys Consulting; Poland; On-site; PLN 80,000 - 110,000; Full time

Job summary

Infosys Consulting in Poland is seeking an experienced Data Architect to design and implement data solutions across various business functions. You will be responsible for evaluating and optimizing existing data architectures while collaborating with clients to meet their data needs.

The ideal candidate will have 10+ years of experience in data architecture and database management, strong analytical skills, and knowledge of cloud data platforms. This position involves travel for project-related work and opportunities for professional growth.

Qualifications

• Proven experience as a Data Architect, with 10+ years of experience in data architecture, database management and data modelling.
• Strong knowledge of software development methodologies, particularly Agile.
• Proficiency in both SQL and NoSQL database management systems.

Responsibilities

• Design and implement robust, scalable data solutions that support business requirements.
• Collaborate with clients to understand their data needs and provide expert advice.
• Conduct data quality assessments and implement data governance processes.

Skills

Data modelling

Stakeholder management

Problem-solving

Data governance

Collaboration

Analytical skills

Tools

SQL Server

Oracle

MongoDB

AWS

Azure

Hadoop

Apache Kafka

Job description

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high‑growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?

About Your Role

The ideal candidate will have extensive experience in designing and implementing data architectures, with a strong understanding of database management, data modelling, and data governance. This role requires a strategic thinker with strong analytical and problem‑solving skills and the ability to work collaboratively with clients and cross‑functional teams.

Responsibilities

• Have a broad business skill set including stakeholder management, problem‑solving, and resilience
• Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences, particularly audiences that are not technical
• Are willing to travel for project‑related work
• Design and implement robust, scalable, secure, optimised data solutions that support business requirements and strategic goals
• Evaluate the client's existing data estate, diagnose underlying issues, and propose potential solutions
• Collaborate with clients to understand their data needs and provide expert advice on data management and architecture
• Develop data models, data flow diagrams, and data dictionaries
• Oversee the ingestion and integration of data from multiple sources into enterprise data platforms
• Conduct data quality assessments and implement data governance processes and best practices
• Stay updated with the latest trends and technologies in data architecture and management
• Provide technical guidance and mentorship to data engineers and other team members
• Identify and mitigate data‑related risks throughout the project lifecycle

Qualifications

• Proven experience as a Data Architect, with 10+ years of experience in data architecture, database management and data modelling
• Strong knowledge of software development methodologies, tools, and frameworks, particularly Agile
• Proficiency in both SQL and NoSQL database management systems (e.g., SQL Server/Oracle/MongoDB, CosmosDB, Snowflake, Databricks)
• Hands‑on experience with data modelling tools, data warehousing, ETL processes, and data integration techniques
• Experience with at least one cloud data platform (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark)
• Strong knowledge of data workflow solutions like Azure Data Factory, Apache NiFi, Apache Airflow, etc.
• Good knowledge of stream and batch processing solutions like Apache Flink, Apache Kafka
• Good knowledge of log management, monitoring, and analytics solutions like Splunk, Elastic Stack, New Relic, etc.