Data Architect (AWS)

About the Position

Data Architect (AWS)

In this role, you will contribute to designing and implementing scalable data platforms and data processing solutions within AWS environments. You will work with both batch and streaming architectures, collaborate with technical and business stakeholders, and support delivery activities across the full project lifecycle in a collaborative and innovation-driven engineering environment.

Responsibilities

• Design and support the implementation of scalable data solutions and data pipelines using AWS services
• Develop and maintain batch and streaming data processing architectures
• Collaborate with stakeholders to gather requirements and translate them into technical solutions and implementation plans
• Support data ingestion activities, including source-to-target mappings and integration of new data sources
• Participate in architecture discussions and contribute to scaling the data platform and maintaining data models
• Work with orchestration tools such as Apache Airflow or MWAA to manage workflows
• Support implementation of real-time data processing solutions using Apache Kafka, Amazon MSK, or Kinesis
• Utilize data warehousing solutions such as Snowflake or Amazon Redshift for analytics and storage
• Create and maintain technical documentation, data schemas, and solution-related materials
• Participate in the full project lifecycle, from PoC and MVP stages to production implementation
• Explore new technologies, build prototypes, and contribute to knowledge sharing within the engineering community

Requirements

• Proven experience designing scalable data platforms and data pipeline architectures
• Hands-on experience with batch and streaming data processing solutions
• Strong expertise in AWS cloud services for data engineering and analytics workloads
• Proficiency in Python, Scala, or Java (preferably Python), along with strong SQL skills
• Knowledge of big data technologies such as Apache Spark, Databricks, or Flink
• Experience with orchestration tools such as Apache Airflow or MWAA
• Practical experience with streaming technologies such as Apache Kafka, Amazon MSK, or Kinesis
• Familiarity with data warehousing solutions such as Snowflake or Amazon Redshift
• Upper-intermediate or higher level of English

We Offer

Flexible Work Model

Work from home, from the office, or in a hybrid format that supports focus and collaboration.

Compensation & Benefits

Competitive, market-based pay, benchmarked by role and location - plus health coverage, paid time off, wellness support, and learning opportunities.

People-first Leadership

Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.

Advanced tech communities

Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.

About the Company

We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Cloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.

You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.