What are the responsibilities and job description for the Data Solution Architect || Remote Work position at Neumeric Technologies Corporation?
Job Details
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,
Faiz Ahmad | Sr. Resource Coordinator590 Enterprise Dr | Lewis Center, OH 43035
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