Data Solution Architect || Remote Work

Job Title: Data Solution Architect

Location: Buffalo, NY Remote Work

Duration: Long Term Contract

What You'll Be Doing:

• Architect and deliver cloud-based data platforms and scalable data pipelines (e.g., Azure Data Lake, Databricks, Kafka).
• Develop and implement ETL/ELT frameworks to ingest, transform, and integrate data from diverse sources.
• Design and deploy data warehouses, lakehouses, and analytics environments supporting Power BI and Snowflake.
• Define and enforce standards around data governance, quality, metadata, and compliance.
• Collaborate with Enterprise Architecture to align solutions with strategic reference models and standards.
• Lead evaluations and proof-of-concepts for emerging data technologies and architectures.
• Produce deliverables including architecture diagrams, data flow maps, security models, and documentation.
• Guide Agile/DevOps teams through CI/CD pipelines, automated testing, and infrastructure-as-code implementations.

Expected Deliverables:

• End-to-end solution architectures for data platforms, including detailed diagrams, technology stack specifications, and integration patterns.
• ETL/ELT pipeline designs and implementation plans for onboarding new data sources and modernizing legacy systems.
• Data governance frameworks, including policies for data quality, lineage, and access control, aligned with Enterprise Architecture standards.
• Technical documentation packages: architecture blueprints, operational runbooks, and security protocols.
• Prototypes and proof-of-concept implementations demonstrating new data engineering capabilities (e.g., streaming analytics, automated data quality checks).
• Performance benchmarks and scalability assessments for deployed solutions.
• Risk mitigation plans, including security audit findings and disaster recovery strategies.

What You'll Need to Have:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in solution architecture or technical implementation, including 2+ years in data engineering or enterprise data platforms.
• Relevant certifications such as AWS/Azure Solutions Architect or Certified Data Engineer.
• Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Proficiency in cloud-native development, including microservices and Kubernetes.
• Experience with API design (REST) and integration frameworks (ETL/ELT).
• Strong knowledge of data modeling, data pipeline orchestration, metadata management, and data lifecycle practices.
• Familiarity with data lakes, data warehouses, and lakehouse architectures.
• Experience with real-time and batch data processing, data integration, and automation.
• Understanding of financial systems such as payment networks, liquidity management, and settlement processes.
• Working knowledge of global data privacy and compliance standards (e.g., GDPR, CCPA).
• Familiarity with security practices including data encryption, access controls, and penetration testing.
• Strong analytical problem-solving abilities for complex data systems.
• Proven leadership in Agile/DevOps environments, including CI/CD pipelines and infrastructure-as-code.
• Proficiency with project management and collaboration tools such as Jira.
• Demonstrated success deploying scalable financial systems such as digital wallets, payment gateways, or blockchain-based platforms.

I look forward hear from you in positive !

Best Regards,