# Data Architect

**Company:** [Skillable](https://hotfix.jobs/companies/skillable)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $170k – $200k/yr
**Experience:** 10+ years
**Skills:** Snowflake, Redshift, BigQuery, Synapse, Databricks, Tableau, Power BI, Entity Framework, dbt, Fivetran, Rivery, Etl/Elt, Data Lakehouse, Data Mesh, Data Governance
**Posted:** 2025-12-10

> Lead enterprise data architecture strategy, designing scalable data warehouse and BI solutions across cloud platforms while establishing governance, quality, and AI/ML integration practices.

## Job Description

## Responsibilities
- Collaborate with other Engineers and Architects to define the enterprise data architecture roadmap.
- Drive the design and optimization of OLTP and OLAP models for scalability, performance, and maintainability.
- Establish standards for data modeling, storage, and integration across systems.
- Partner with engineering stakeholders in developing a comprehensive data and BI strategy aligned with business objectives.
- Define data governance practices, data access control, compliance, and quality standards.
- Lead proof-of-concepts (POCs) for new data technologies and frameworks.
- Own the architectural review process and guidance to development teams on data-related projects.
- Establish and ensure best patterns and practices for ORM usage (Entity Framework and others) and SQL optimization.
- Evaluate and recommend where AI/ML can enhance data-driven decision-making.
- Stay current with modern data engineering trends, cloud-native architectures, and big data platforms.
- Actively participate and take ownership of Data Architecture artifacts via ADR process.
- Drive AI adoption by introducing and guiding teams in leveraging AI capabilities within the data engineering space.
- Liaison between technology and product teams assisting in translating business requirements into tangible architectures.
- Design data architectures that accurately reflect and support evolving complex product and business processes.
- Lead data architecture initiatives, collaborating with cross-functional teams, from concept through implementation, including governance and quality frameworks.
- Identify opportunities for predictive analytics and advanced modeling.

## Requirements
- Bachelor’s degree in Computer Science, Data Science, or relevant professional experience.
- 10+ years of relevant professional experience in architecting Enterprise Data and Business Intelligence solutions.
- Proven experience designing and optimizing large-scale data warehouse implementations for multiple business units, with a deep understanding of polyglot environments.
- Ability to architect scalable, high-performance solutions supporting analytical and operational workloads, including query optimization and index management.
- Expertise in modern data architectures (e.g., Medallion, Data Lakehouse, MDM, DataMesh, Streaming) and dimensional modeling architectural patterns (StarSchema, Snowflake, etc.).
- Proficiency in cloud data platforms (Snowflake, Redshift, BigQuery, Synapse, Databricks) and integration with diverse data sources.
- Deep understanding of visualization and reporting platforms (Tableau, PowerBI, etc.).
- Ability to design conceptual, logical, and physical data models using appropriate database technology (SQL, NoSQL, Graph, etc.).
- Familiarity with ORM technologies such as Entity Framework.
- Skilled in building robust ETL/ELT pipelines ensuring data quality and timeliness (experience with Fivetran, dbt, Rivery is a plus).
- Expertise in data governance frameworks, security, compliance, and stewardship.
- Experience with DataOps, including CI/CD for data workflows, pipeline observability, data quality practices.
- Awareness of emerging AI technologies and their implications for data architecture.
- Interest and ability in mentoring and/or training other team members.
- Experience working cross-functionally and promoting collaborative partnerships.
- Proven ability to communicate effectively to various audiences/levels.
- Experience working in a fully remote team is preferred.

## Compensation & Benefits
- Base salary: $170,000 - $200,000 annually.

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