Data Architect

Lakeside Book Company

Indianapolis, IN, United States

1 day ago

Apply on www.jofdav.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Compensation

$75,000.0 - $85,000.0

Working hours

Regular working hours

Job source

www.jofdav.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Information Systems Continuous Integration Data as a Services Data Architecture Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Systems

+15 more

Database Design Database Development Dimensional Modeling Python (Programming Language) Machine Learning Metadata Cloud Services Systems Integration Enterprise Software Applications Sql Optimization Snowflake Generative AI Information Technology Operational Systems Software Version Control

Job description

Define and maintain Lakeside’s enterprise data architecture, including standards, models, integration patterns, roadmaps, and controls supporting BI, analytics, and AI.
Design scalable and reusable data models, schemas, semantic models, and trusted data products that provide consistent enterprise data.
Provide architectural leadership for Snowflake and related data services, focusing on performance, scalability, reliability, security, and lifecycle management.
Design and guide resilient ELT/ETL pipelines, APIs, integrations, and interfaces connecting enterprise applications and operational systems.
Establish standards for data quality, governance, metadata, lineage, security, privacy, access, monitoring, testing, and documentation.
Partner with business and Technology teams to translate requirements into sustainable data solutions while providing technical guidance and communicating architecture decisions and trade-offs.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science, Data Engineering, or a related field.
2+ years of experience in data architecture, data engineering, analytics, database development, or a related field.
Advanced SQL skills with strong knowledge of relational and analytical database design, dimensional modeling, normalized modeling, and modern data architecture.
Experience with ELT/ETL pipelines, data integrations, APIs, orchestration, and cloud data platforms; Snowflake experience preferred.
Knowledge of data governance, quality, metadata, lineage, security, privacy, semantic modeling, and role-based access controls.
Understanding of data architecture for BI and AI, including machine learning, generative AI, RAG, and AI agents; familiarity with Python, source control, testing, CI/CD, and monitoring preferred.