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Data Architect
KANINI
- Nashville, Tennessee, United States
- Nashville, Tennessee, United States
À propos
highly skilled and hands-on Data Architect
to join our team. The ideal candidate will be a proactive problem solver with a strong command of
modern data architecture , capable of designing, optimizing, and managing complex data ecosystems. This role requires both
strategic architecture design
and
practical implementation —someone who can seamlessly shift between high-level planning and hands-on troubleshooting. You’ll play a critical role in shaping the data architecture roadmap, driving best practices across data integration, transformation, and analytics, and enabling advanced AI-driven insights. Key Responsibilities
Design, develop, and maintain scalable and secure
data architecture solutions
for the SSA project. Lead the implementation and optimization of
data pipelines
using
Airflow ,
dbt , and
Python . Architect and manage
data warehouses and analytics environments
in
Snowflake
and
Azure Synapse . Build and optimize
data integration workflows
using
Azure Data Factory
and other Azure data services. Collaborate with stakeholders to define and execute a
data architecture roadmap
aligned with business objectives. Ensure data quality, governance, and compliance across all systems and pipelines. Provide technical leadership and architectural guidance to development and analytics teams. Troubleshoot and resolve data issues quickly, ensuring system reliability and uptime. Drive performance optimization for data storage, retrieval, and visualization. Leverage
AI and machine learning capabilities
to enhance analytics and decision-making. Develop and publish standards, best practices, and documentation for the data architecture environment. Required Skills & Qualifications
8+ years of experience in
data architecture ,
data engineering , or
business intelligence
roles. Strong hands-on expertise with: Power BI
(data modeling, visualization, and performance tuning) Snowflake
(data warehousing, schema design, optimization) Airflow ,
dbt , and
Python
(ETL orchestration and automation) MS SQL Server
(database design, T-SQL, stored procedures, and performance tuning) Azure Data Services
–
Azure Data Factory ,
Azure Synapse , and related cloud tools Proven experience designing and managing
data architectures in cloud environments (Azure preferred) . Strong understanding of
AI and machine learning concepts
and how they integrate into modern data platforms. Ability to identify architectural gaps and implement improvements proactively. Excellent communication skills with the ability to convey complex technical concepts to business stakeholders. Must be
hands-on
and comfortable troubleshooting and resolving issues in real time. Self-driven, organized, and capable of driving projects independently in a remote environment. Preferred Qualifications Experience in public sector or large-scale enterprise projects. Knowledge of data governance, lineage, and metadata management tools. Familiarity with DevOps, CI/CD for data workflows, and data security best practices. Certifications in Azure Data, Snowflake, or related cloud technologies are a plus
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Compétences linguistiques
- English
Avis aux utilisateurs
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