: Data Architect / Lead Data Engineer

Location: Remote,

Employment Type: Full-time

Role Overview

We are seeking an exceptional Data Architect / Lead Data Engineer who combines deep architectural thinking with strong hands-on engineering capabilities.

This is not a documentation-only architecture role. The ideal candidate can define target architectures, make critical technology decisions, design reusable patterns, and work directly with engineering teams to build and deliver production-grade solutions.

You will help design and implement modern enterprise data platforms, integration frameworks,

governed data products, semantic layers, knowledge graphs, GraphRAG solutions, and AI-ready data foundations.

You will work closely with clients, enterprise architects, AI engineers, product teams, and delivery leaders while contributing to technical standards, delivery methodologies, reusable assets, and engineering culture.

Key Responsibilities

Design end-to-end enterprise data architectures.

Define current, transition, and target-state architectures.

Design modern data platforms, including warehouses, lakes, lakehouses, mesh, and fabric.

Build scalable ingestion, integration, transformation, orchestration, and activation pipelines.

Define ETL/ELT, API, CDC, and streaming integration patterns.

Design governed data products.

Develop conceptual, logical, physical, canonical, and semantic data models.

Build semantic layers, ontologies, knowledge graphs, GraphRAG solutions, and vector stores.

Establish metadata, lineage, governance, observability, security, and compliance.

Support analytics, ML, GenAI, and intelligent-agent initiatives.





Create reference architectures and engineering standards.

Conduct architecture reviews and optimization.

Partner directly with clients and stakeholders.

Mentor engineers and contribute hands-on to delivery.

Required Experience and Skills

1015+ years of experience in data architecture and/or data engineering.

Strong combination of architecture expertise and hands-on engineering.

Experience delivering enterprise-scale solutions.

Deep understanding of the end-to-end data lifecycle.

Strong data modeling expertise.

Experience with ETL, ELT, CDC, APIs, and streaming.

Experience with cloud and data platforms such as Snowflake, Databricks, AWS, Azure, and GCP.

Strong understanding of data warehouses, lakehouses, data mesh, and data fabric.

Experience with data governance, metadata, lineage, and data quality.

Experience designing data products and data contracts.

Experience building analytics and AI-ready data foundations.

Excellent communication and stakeholder-management skills.

Ability to explain complex technical concepts clearly.

AI, Semantic & Context Engineering Experience

Experience with LLMs, GenAI, and intelligent agents.

RAG, GraphRAG, knowledge graphs, and vector databases.

Ontologies and semantic modeling.

Metadata-driven automation.





AI evaluation and responsible AI practices.

Enterprise AI integrations.

AI-enabled data quality and lineage.

AI-Native Engineering Skills

Experience with AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot,

Windsurf, OpenAI, and Gemini.

Familiarity with agentic frameworks.

Understanding of Model Context Protocol (MCP).

AI-assisted software and data engineering.

Prompt engineering and workflow automation.

Experience implementing AI with human validation and governance.

Leadership & Startup Mindset

Strong startup and builder mindset.

Independent execution and decision-making.

Hands-on involvement across architecture and delivery.

Strong ownership and accountability.

Customer-first approach.

Willingness to challenge assumptions and explore better solutions.

Continuous learning and adaptability.

Ability to mentor and develop other engineers.

Willingness to contribute to building and scaling the organization.

Education

Bachelor’s or Master’s degree in a relevant field.

Relevant cloud, data, or AI certifications are a plus.

Why Join to us?

Opportunity to work on contemporary Data, AI, and Enterprise Architecture initiatives.

Work alongside experienced technical and business leaders.

Solve complex, high-value enterprise problems.

Design and build modern AI and data platforms.

Influence technical strategy and architecture decisions.

Opportunity to grow into technical and organizational leadership.

We are looking for builders who combine architecture depth, engineering discipline, curiosity,

and a strong commitment to customer outcomes

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