Data Architect

Please include the below skill ratings of candidates rated on below. Please include on the top of their resume
Skill ratings (1-10)
1 Snowflake
2 Databricks
3 ETL/ELT (ADF, dbt, Spark)
4 Azure
5 Kafka
6 Data Modeling & Warehousing
7 Data Governance & Quality
8 Stakeholder Management
9 Data Migration
10 Data Strategy

Role Overview:
We are seeking a highly experienced and strategic Software Lead Architect to work closely with customers and internal stakeholders to define, design, and implement robust platform solutions for Data Management. This role requires deep expertise in data governance, management, and regulatory compliance frameworks such as USGCI, GDPR, HIPAA, and others.
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Key Responsibilities:
• Customer Engagement & Solution Definition
o Collaborate with customers to understand business needs and translate them into secure, scalable, and compliant data platform architectures.
o Lead technical workshops and architecture sessions with customer stakeholders.
• Big Data Expertise: Demonstrated experience working with extremely large-scale datasets across enterprise-grade platforms. Proven ability to design, optimize, and govern data flows in high-volume environments.
• Geospatial Data Proficiency: Hands-on experience with geospatial data models, indexing strategies, and spatial analytics. Familiarity with tools and frameworks for managing location-based datasets at scale.

• Architectural Oversight vs. System Ownership: While operational control of big data systems may reside with specific teams or platforms, this role is responsible for establishing the overarching governance frameworks, compliance protocols, and architectural standards that safeguard data integrity and ensure alignment with regulatory requirements.

• Architecture & Design
o Defining end-to-end architecture for data management and security platforms, including data ingestion, storage, processing, access control, and auditing.
o Design solutions that ensure compliance with global data protection regulations (e.g., GDPR, HIPAA, USGCI).
o Develop reference architecture, blueprints, and best practices.
• Security & Compliance
o Integrate security-by-design principles into all platform components.
o Ensure data encryption, identity and access management (IAM), and secure data lifecycle practices are in place.
o Conduct risk assessments and compliance gap analyses.
• Collaboration & Leadership
o Work with cross-functional teams including engineering, DevOps, legal, and compliance.
o Collaborates with system owners and engineering leads to ensure consistent data standards, lineage tracking, and metadata management across distributed platforms.
o Mentor and guide development teams on secure coding and data handling practices.
o Stay current with emerging technologies and regulatory changes.
• Scalable Design Thinking: Applies architectural principles that support scalability, performance, and resilience in data ecosystems handling petabyte-scale workloads.
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Required Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field.
• 7 - 10 years of experience in software architecture, with a focus on data platforms and security.
• Proven experience designing solutions compliant with GDPR, HIPAA, USGCI, or similar regulations.
• Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and cloud-native security tools.
• Expertise in data governance, metadata management, and data lineage.
• Familiarity with frameworks such as NIST, ISO 27001, and SOC 2.
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Preferred Skills:
• Certifications such as CISSP, CIPP, TOGAF, AWS/Azure Architect.
• Experience with data privacy impact assessments (DPIAs).
• Knowledge of modern data platforms (e.g., Snowflake, Databricks, BigQuery).
• Strong communication and stakeholder management skills.
• Knowledge on Security Compliances is nice to have.