[C3I] Data Architect - Governance & Quality

Software Mind; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible remote cooperation

International projects

Travel opportunities

Non-corporate atmosphere

Language classes

Knowledge-sharing initiatives

Private healthcare and life insurance

Multisport card

Job summary

Software Mind ищет специалиста по архитектуре данных и управлению данными для глобальной миссии социальной ценности. Ваша роль — спроектировать и привести в единое представление архитектуру данных, обеспечить соответствие стандартам и взаимодействие бизнес-стратегии и технологий.

Вы будете работать с Data Governance, Data Management, Analytics, AI и Data Engineering для реализации моделей, каталогов метаданных и интеграций.

Qualifications

• Опыт в проектах по управлению данными, качеству данных и метаданным.
• Опыт моделирования данных (концептуальное/логическое/физическое).
• Знание современных платформ данных (Snowflake, Databricks).
• Работа с каталогами данных и инструментами метаданных (DataHub, Collibra, Alation, Atlan).
• Знание SQL и реляционных моделей.
• Опыт работы в облаке (AWS, GCP, Azure).
• Умение переводить бизнес-потребности в модели данных.
• Понимание принципов безопасности и доступности данных.
• Уровень английского чтения документации.
• Опыт в семантических слоях: RDF/OWL, GraphQL, dbt Semantic Layer.

Responsibilities

• Разработка и поддержка архитектуры данных на уровне всей организации.
• Определение и стандартизация корпоративной модели данных в рамках Data Governance.
• Создание документации архитектуры и взаимосвязей между доменами.
• Сотрудничество с командами управления данными, аналитики и инженерии данных.
• Участие в предпроектной фазе: презентации архитектур, демонстрации PoC и оценка решений.
• Поддержка внедрения моделей в слои данных и обеспечение соответствия политикам.

Skills

Data governance

Data quality

Master data

Metadata management

Data modeling

Snowflake

Databricks

SQL

Data catalog

DataHub

Collibra

Alation

Atlan

RDF/OWL

GraphQL

dbt

Python

AWS

GCP

Azure

English (proficient)

Tools

Snowflake

Databricks

Job description

Описание:

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines cooperation with enjoyment.

Задачи:

We are the Data & Analytics Global Capability at Software Mind. We design, build and maintain data and analytics solutions for clients across industries: financial services, telco, media & entertainment, retail, manufacturing, gaming, healthcare and more. Our projects run on modern data platforms, mainly Snowflake and Databricks on Azure, AWS and GCP, as well as on-premises and hybrid environments. We are looking for a Data Architect / Data Governance expert who will help organize and standardize how the organization understands and uses data. Your main task will be to design and develop data architecture at the level of the entire organization so that data is consistent, well defined, and ready to be used in analytics, AI, and system integrations. You will act as a bridge between the worlds of business, data, and technology, connecting strategy, standards, and practice. Design semantic, logical, and conceptual data models based on business domains and organizational processes. Define and standardize the corporate data model as part of the Data Governance initiative. Create and maintain reference architecture (logical and technical reference architectures) and design patterns for data domains. Co-create the strategy and roadmap for data architecture development that supports the vision of the Data Governance program and organizational goals. Collaborate with Data Governance, Data Management, Analytics, AI, and Data Engineering teams to integrate models with the data catalog and metadata management tools. Support technical teams in implementing models in data layers. Participate in designing data integration, flow, and quality processes (data lineage, data contracts, data quality). Identify and certify authoritative data sources within organizational domains. Monitor the compliance of data solutions with Data Governance policies and standards as well as architectural recommendations. Support the resolution of data conflicts and issues. Create architectural documentation, metamodels, and inter-domain relationship diagrams. Consult on and develop good practices in the area of modeling, metadata, and information architecture. Collaborate on defining the vision, priorities, and directions for the development of data architecture in the organization. Presales & Client Advisory: Partner with sales and industry teams as technical presales: discovery workshops, solution design, estimations and the technical parts of proposals and RFPs. Present architectures and recommendations to client stakeholders, from engineering teams to C-level. Design and run PoCs and technical demos. Evaluate new approaches and tools (data mesh, streaming‑first, AI‑native platforms) and share what you learn internally and externally.

Требования:

Experience in Data Governance, Data Quality, Master Data, and Metadata Management projects. Experience in data modeling (conceptual, logical, physical), preferably in a large organization or within complex data ecosystems. Deep knowledge of modern Data Platforms (Snowflake/Databricks) Practical knowledge of tools and methodologies such as ER, UML, IDEF1X, Data Vault, 3NF, Kimball/Inmon. Ability to work with data catalogs and metadata management tools (e.g. DataHub, Collibra, Alation, Atlan). Knowledge of SQL and relational data models. Experience working with database systems and data architecture in a cloud environment (AWS, GCP, Azure). Ability to work with engineering and analytics teams to translate business needs into data models. Understanding of data security, availability, and control principles. Good command of English (reading documentation, community discussions). Knowledge of concepts and technologies related to the semantic data layer: ontologies, RDF, OWL, GraphQL, dbt Semantic Layer, Semantic Kernel. Knowledge of Python for automation, model validation, and API integrations. Knowledge of event‑driven data architecture. Experience in creating and maintaining architectural documentation.

Условия:

• Flexible and remote cooperation options
• International projects with leading global clients
• Travels related to international projects
• Non-corporate atmosphere
• Access* to language classes
• Access* to knowledge‑sharing initiatives
• Access* to private healthcare and life insurance
• Access* to multisport card
• The availability and terms of individual benefits may vary depending on the chosen form of cooperation.