Data Solution Architect

  • Posted 12 hours ago | Updated 12 hours ago

Overview

Remote
$80 - $82
Contract - W2
Contract - 6 Month(s)
25% Travel

Skills

API
Agile
Analytical Skill
Analytics
Data Flow
Data Engineering
Data Lake
Data Quality
Data Warehouse
DevOps
Databricks
ELT
Streaming
Microsoft Azure
Microservices
Kubernetes
Meta-data Management
Microsoft Power BI
JIRA
Enterprise Architecture
Data Governance
Big Data
Cloud Computing
Financial Software
Finance
Snow Flake Schema
Solution Architecture
Payment Gateways

Job Details

Title: Data Solution Architect
Location: Remote (Will be expected to travel to Buffalo, NY every 4-6 weeks with Monday through Thursday in office)
Duration: 6+ Months

W2 Only.

Key Responsibilities
Solution Architecture: Architect and deliver cloud-based data platforms (e.g., Azure Data Lake) and scalable data pipelines using technologies such as Databricks, Kafka, etc.
ETL/ELT Frameworks: Develop and implement ETL/ELT frameworks for ingesting, transforming, and integrating data from diverse sources, including legacy financial systems, SaaS platforms, and real-time data streams.
Data Platform Deployment: Design and oversee deployment of data warehouses, lakehouses, and analytics sandboxes to support business intelligence, machine learning, and reporting needs inclusive of Power BI and Snowflake.
Data Governance: Define and enforce data governance, metadata management, and data quality standards in accordance with Enterprise Architecture guidance and regulatory requirements.
Enterprise Architecture Collaboration: Collaborate with Enterprise Architecture to ensure all solutions adhere to architectural standards, reference models, and technology roadmaps.
Technology Evaluation: Lead technical evaluations and proof-of-concept projects for emerging data technologies (e.g., real-time analytics, data mesh, AI/ML platforms).
Technical Documentation: Produce deliverables such as architecture diagrams, data flow maps, security models, and technical documentation for solution handoff and operational support.
Agile/DevOps Leadership: Guide Agile/DevOps teams in implementing CI/CD pipelines, automated testing, and infrastructure-as-code for data solutions.

Expected Skills
Data engineering platforms, big data technologies, and cloud-native development (microservices, Kubernetes).
API design (REST) and integration tools (ETL/ELT).
Stakeholder communication (technical and non-technical audiences).
Leadership in Agile/DevOps environments.
Analytical problem-solving for complex data systems.
Project management: proficiency in tools like Jira; familiarity with SDLC and CI/CD pipelines.

Qualifications
Education: Bachelor s/Master s in Computer Science, Engineering, or related field.
Certifications: AWS/Azure Solutions Architect, Certified Data Engineer, or similar
Experience: 5+ years in solution architecture or technical implementation, with 2+ years in data engineering or enterprise data platforms.
Proficient in system design, integration, and implementation across multiple technology domains.
Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred)
Hands-on experience with cloud platforms (Azure/AWS/Google Cloud Platform), containerization (Kubernetes), and DevOps practices.
Excellent communication, collaboration, and critical thinking skills.
Understanding of financial regulations, compliance, and security standards.

EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.