Data Architect
Primary stack
Nice to have's
Job description
About the Position
We are seeking an experienced Data Architect with deep technical expertise and a strategic mindset to lead the design, implementation, and governance of enterprise data architecture.
About Us
We’re an AI service company with a mission to build meaningful, data-driven solutions for clients across the US and Europe. Our team is composed of highly skilled professionals from around the globe, and we’re proud of our flat company structure - meaning every voice is heard and valued, regardless of title or position.
We believe in flexible work - you can choose when and where you work. Whether you prefer to work from home, a co-working space, or while traveling, we’re here to support your rhythm.
Our team is senior, multicultural, and incredibly collaborative. We build together, learn together, and grow together.
About the Role
We are seeking an experienced Data Architect with deep technical expertise and a strategic mindset to lead the design, implementation, and governance of enterprise data architecture. The ideal candidate will have a strong background in data modeling, data governance, cloud-based solutions, and a passion for building scalable, secure, and high-performance data platforms.
Key Responsibilities
- Design and implement enterprise-grade data architectures to support analytics, reporting, and operational needs
- Define data standards, data flows, and governance frameworks across systems and departments
- Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical data solutions
- Develop and maintain logical and physical data models using modern modeling tools
- Oversee data integration strategies including ETL/ELT pipelines, APIs, and real-time data ingestion
- Evaluate, recommend, and implement new data technologies and tools aligned with industry best practices
- Ensure data quality, security, and compliance across all platforms
- Act as a technical mentor to engineering and analytics teams, promoting architectural consistency and knowledge sharing
- Partner with DevOps and infrastructure teams to ensure optimal deployment, scalability, and performance of data systems
- Lead initiatives in data warehousing, master data management, and data lakes (on-premise and cloud)
Required Qualifications
- 7+ years of experience in data architecture, data engineering, or database design
- Proven experience designing large-scale data systems in cloud environments (AWS, Azure, or GCP)
- Strong expertise in relational and non-relational databases (e.g., PostgreSQL, SQL Server, MongoDB, Snowflake, Redshift, BigQuery)
- Proficiency in data modeling tools (e.g., ER/Studio, ERwin, dbt, Lucidchart)
- Hands-on experience with ETL frameworks, data pipelines, and orchestration tools (e.g., Apache Airflow, Fivetran, Talend)
- Solid understanding of data governance, metadata management, and data lineage tools
- Experience working with modern data stack technologies (e.g., Databricks, Kafka, Spark, dbt)
- Strong SQL and at least one programming language (Python, Scala, or Java)
- Excellent communication and leadership skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
Preferred Qualifications
- Experience with real-time analytics and streaming data
- Knowledge of machine learning pipelines and model deployment architecture
- Familiarity with data privacy laws (e.g., GDPR, CCPA) and security best practices
- Certifications in cloud platforms or data architecture (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer)
Why Join Us
✅ 100% remote with flexible hours
✅ Work from anywhere in the world
✅ Be part of a senior, talented, and supportive team
✅ Flat structure – your input is always welcome
✅ Clients in the US and Europe, projects with real impact
✅ Room to grow and experiment with cutting-edge AI solutions
© InData Labs. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
InData Labs is a 80+ people strong data science firm and AI-powered solutions provider with its own R&D center that helps companies across the world to find perfect solutions to their challenges in artificial intelligence.Since 2014, our solutions and consulting services enable our clients to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns.We are experts in:— Generative AI & GPT, Text Analysis— Cognitive Computing (sentiment analysis, risk assessment, fraud detection, behavioral recommendations)— Big Data Analytics, Data Infrastructure & Engineering, Data Visualization— Predictive Analytics, Forecasting, and Recommendation Systems development— Computer VisionWe guarantee the high quality of our work as we use proprietary technologies, stick to exceptional customer care, and continually invest in talent development and own R&D center.InData Labs is listed in the Top 10 AI Software Companies in the Global Clutch Leaders Matrix.Offices: Cyprus (HQ), Lithuania, USATeam: 80+ professionals with proven experience in AI and Big DataIndustry Focus: Finance, E-commerce, Marketing & Advertising, Manufacturing, Healthcare.