Senior Data Architect Job Nashville area,Tennessee USA,IT/Tech

yThis role requires contributing to strategic technical direction and system architecture approaches for individual projects and platform migrations. It also requires working closely with others, frequently in a matrixed environment, and with little supervision. This candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision

Responsibiliti

es Responsible for building and supporting a Cloud based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured da
ta Design the cloud environment data model from a comprehensive perspective, ensuring that it satisfies all the company’s nee
ds Develop, manage, and own full data lifecycle from raw data acquisition through transformation to end user consumpti
on Share knowledge and experience to contribute to growth of overall team capabiliti
es Maintain a holistic view of information assets by creating and maintaining artifacts that illustrate how information is stored, processed, and access
ed Demonstrate deep understanding and act as a leader in the team’s continuous integration and continuous delivery automation pipeli
ne Collaborate with business analysts, project lead, management, and customers on require men
ts Design fit-for-purpose products to ensure products align to the customer's strategic plans and technology road ma
ps Actively participate in technical group discussions and adopt any new technologies to improve the development and operatio
ns Assist team members with production issues and offer support, guidance, and assist in communicating issues with appropriate stakeholders when necessa

y Require men

ts Bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or related fiel
d.8+ years of experience in data architecture, data modeling, and database desig
n.Proven experience designing and implementing large-scale data solutions in enterprise environment
s.Strong background in data governance, metadata management, and data quality framework
s.Expertise in data modeling (conceptual, logical, and physical) and data architecture framework
s.Hands-on experience with cloud data platforms (e.g., AWS Redshift, Azure Synapse, Google Big Query, Snowflake
).Strong understanding of ETL/ELT pipelines and tools (e.g., Informatica, Talend, dbt, Airflow, Matillion
).Proficiency in SQL and No

SQL database technologies (e.g., PostgreSQL, MySQL, MongoDB, Cassandra
).Familiarity with data Lakehouse and modern data stack concept
s.Experience with data integration, APIs, and real-time streaming technologies (Kafka, Spark, etc.
).Knowledge of data security, compliance, and privacy regulations (GDPR, HIPAA, etc.
).Strong understanding of BI and analytics tools (e.g., Power BI, Tableau, Looker) and how they interface with data model
s.Familiarity with Dev Ops and Data Ops practices, including CI/CD for data pipeline

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