Indata Labs

Data Architect
Location: Remote (Work from Anywhere)
Type: B2B Contract
Experience Level: Senior/Expert
Start Date: TBD
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