Data Architect (with AWS & Python FastAPI)

*This position is fully remote only for employment in Bulgaria. However, people can also work in one of our offices in Sofia or Varna if they prefer to.

About DataArt

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

Position Overview

Our client is a leading legal recruiting company focused on building a cutting-edge data-driven platform for lawyers and law firms. The platform consolidates news and analytics, real-time deal and case tracking from multiple sources, firm and lawyer profiles with cross-linked insights, rankings, and more — all in one unified place.

We are looking for a skilled Data Architect with strong expertise in AWS technologies (Step Functions, Lambda, RDS – PostgreSQL), Python, and SQL to lead the design and implementation of the platform’s data architecture.

This role involves defining data models, building ingestion pipelines, applying AI-driven entity resolution, and managing scalable, cost-effective infrastructure aligned with cloud best practices.

Responsibilities

• Define entities, relationships, and persistent IDs; enforce the Fact schema with confidence scores, timestamps, validation status, and source metadata
• Blueprint ingestion workflows from law firm site feeds; normalize data, extract entities, classify content, and route low-confidence items for review
• Develop a hybrid of deterministic rules and LLM-assisted matching; configure thresholds for auto-accept, manual review, or rejection
• Specify Ops Portal checkpoints, data queues, SLAs, and create a corrections/version history model
• Stage phased rollout of data sources—from ingestion through processing, storage, replication, to management via CMS
• Align architecture with AWS and Postgres baselines; design for scalability, appropriate storage tiers, and cost-effective compute and queuing solutions

Requirements

• Proven experience as a Data Architect or Senior Data Engineer working extensively with AWS services
• Strong proficiency in Python development, preferably with FastAPI or similar modern frameworks
• Deep understanding of data modeling principles, entity resolution, and schema design for complex data systems
• Hands-on experience designing and managing scalable data pipelines, workflows, and AI-driven data processing
• Familiarity with relational databases such as PostgreSQL
• Solid experience in data architecture, including data modeling
• Knowledge of different data architectures, such as Medallion architecture, and Dimensional modeling
• Strong knowledge of cloud infrastructure cost optimization and performance tuning
• Excellent problem-solving skills and ability to work in a collaborative, agile environment

Nice To Have

• Experience within legal tech or recruiting data domains
• Familiarity with Content Management Systems (CMS) for managing data sources
• Knowledge of data privacy, security regulations, and compliance standards
• Experience with web scraping
• Experience with EMR and SageMaker

What We Offer

• Unique corporate culture – no micromanagement, friendly atmosphere, freedom, and mutual respect
• Flexible schedule – ability to change projects, to work from home, and to try yourself in different roles
• Professional Development Map – a comprehensive map of your professional development within DataArt
• We hire people not for a project, but for the company. If the project (or your work in it) is over, you go to another project or to a paid “Idle”.
• Social benefits – additional health insurance, life insurance, sports card, etc.
• Opportunity to work from another DataArt office in a different city or country (temporarily or permanently)
• Free English courses
• Cozy office with a great atmosphere
• Snacks, drinks, and fruits are always available

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