Lead design and implementation of enterprise data architecture and process-engineered data workflows. Drive integration, modeling, ETL/ELT, governance, compliance (GDPR/HIPAA), cloud solutions, and mentor teams while evaluating emerging tools and automation opportunities.
Job Summary:
We are seeking a highly experienced Data Solution Architect with a strong background in process engineering to lead the design and implementation of end-to-end data architecture solutions across enterprise environments. The ideal candidate will possess deep technical expertise in data platforms, cloud services, and data modeling, coupled with a process-oriented mindset to streamline and optimize data-driven workflows and operations.
Key Responsibilities:
- Design scalable and secure data architecture solutions aligning with business goals and technical requirements.
- Lead data integration, transformation, and modeling efforts across structured and unstructured sources.
- Analyze and engineer data-related processes to improve data quality, consistency, and throughput.
- Collaborate with business and engineering teams to define data strategy, governance, and lifecycle management.
- Translate business processes into data flows and system requirements, identifying areas for automation and improvement.
- Develop end-to-end data blueprints, solution roadmaps, and architectural patterns.
- Evaluate emerging technologies and tools to support continuous improvement in data architecture and process efficiency.
- Ensure adherence to data privacy, compliance, and security policies (e.g., GDPR, HIPAA).
- Mentor technical teams and provide architectural oversight across multiple data projects.
Required Skills & Qualifications:
- Proven experience (10+ years) in data architecture, data engineering, or solution architecture roles.
- Strong expertise in process engineering, including process mapping, optimization, and automation.
- Proficiency with modern data platforms and tools (e.g., Snowflake, Redshift, Databricks, BigQuery, Azure Synapse).
- Hands-on experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, Informatica, Talend).
- Deep understanding of database systems (SQL, NoSQL), data lakes, and data warehouse concepts.
- Experience in designing solutions on cloud platforms (AWS, Azure, or GCP).
- Familiarity with CI/CD pipelines, DevOps for data, and infrastructure-as-code.
- Excellent communication and stakeholder management skills.
Compensation, Benefits and Duration
Minimum Compensation: USD 59,000
Maximum Compensation: USD 207,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
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