Senior Data Architect - Remote Position

About the Role

We are seeking a highly experienced Senior Data Architect to join our team in a remote capacity. This role requires a seasoned professional with 13 to 15 years of experience, including 7 to 10 years of proven architecture ownership. As a Senior Data Architect remote position, you will be responsible for designing scalable data platforms and driving implementation independently in complex environments.

What You'll Do

• Own end-to-end data architecture design from conceptualization to deployment.
• Lead and execute the design of scalable, performant data platforms on cloud infrastructure.
• Develop and maintain enterprise data models, including star and snowflake schemas.
• Build and optimize ETL/ELT pipelines for high-volume, complex data environments.
• Collaborate with business stakeholders to translate requirements into robust data solutions.
• Drive best practices in data modelling, pipeline orchestration, and data quality assurance.
• Establish governance standards for data assets, metadata, and documentation.
• Support and mentor junior data engineers and analysts as needed.
• Provide executive-level reporting and analytical dashboards for business insights.
• Proactively identify and resolve data architecture bottlenecks and inefficiencies.

Requirements

• 13–15 years of overall experience in data engineering, data warehousing, or data architecture.
• 7–10 years of proven hands-on data architecture ownership in enterprise environments.
• Hands-on expertise with cloud data platforms: Azure Synapse, Azure SQL, Snowflake, Amazon Redshift, or equivalent.
• Strong SQL coding skills for complex transformations, performance tuning, and schema design.
• Demonstrated experience with ETL/ELT tools and frameworks.
• Proficiency in Python and/or Java for data pipeline development.
• Experience with enterprise reporting and BI tools (e.g., Power BI, Tableau, or similar).
• Deep understanding of dimensional modelling, data vault, and relational design patterns.
• Ability to work independently in ambiguous, fast-paced environments with minimal supervision.

Nice to Have

• Experience with data orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
• Exposure to real-time/streaming data architectures (Kafka, Spark Streaming, etc.).
• Familiarity with DevOps / DataOps practices including CI/CD pipelines for data.
• Experience working with cross-functional, globally distributed teams.
• Cloud certifications (Azure, AWS, GCP) are a plus.

What We Offer

• Competitive salary in the range of $120,000 to $150,000 per year.
• Fully remote work with flexible hours.
• Opportunity to work with cutting-edge technologies and tools.
• Supportive and collaborative team environment.
• Professional development opportunities and mentorship.
• Engagement in meaningful projects that drive business insights.