Lead Data Engineer/Architect at KANINI Nashville, TN

Lead Data Engineer/Architect job at KANINI. Nashville, TN. Title:

Sr. Data Engineer/Architect Location

: US Remote Work Authorization

: US Citizen or Green Card SCOPE: Kanini is seeking a highly skilled

Lead Data Engineer/Architect

with deep expertise in Azure Data Service technologies, Power BI, and strong Snowflake experience. This role plays a key part in supporting our data-driven initiatives by designing and maintaining scalable data infrastructure and ensuring seamless access to critical insights across the organization. Key Responsibilities Data Infrastructure & Architecture:

Design, build, and maintain high-performance, scalable, and reliable data pipelines and data architectures on

Azure

platforms. Data Warehousing:

Develop and manage cloud-based data warehouse solutions, particularly using

Snowflake

, ensuring optimized storage and query performance. ETL/ELT Development:

Create robust ETL/ELT processes to ingest structured and unstructured data from diverse sources, including point-of-sale (POS) systems, product usage logs, web/eCommerce platforms, and geolocation data. Analytics & Reporting Enablement:

Enable data access for business users and analysts by building effective reporting layers and dashboards using tools like

Power BI. Collaboration & Stakeholder Engagement:

Work closely with data analysts, data scientists, and business stakeholders to define data requirements and deliver actionable insights aligned with business goals. Performance Optimization & Troubleshooting:

Monitor data pipelines for performance, reliability, and integrity. Optimize queries, manage data partitioning and clustering, and resolve technical issues swiftly. Governance & Security:

Ensure adherence to data governance, quality, and security best practices across all data handling processes. Tooling:

Utilize modern data orchestration and workflow tools such as

Cloud Composer (Apache Airflow)

,

ADF

,

Pub/Sub

, and

Cloud Storage

to support data movement and transformation. Required Qualifications Strong proficiency in

SQL

with expertise in advanced query tuning and performance optimization. Solid hands-on experience with

PySpark

for data engineering tasks. Proven experience working with

cloud platforms

especially integrating with

Snowflake

. Familiarity with

Azure Data Factory

,

Synapse Analytics

, and

Microsoft Fabric

. Deep understanding of

data modeling

and the ability to design scalable data solutions. Demonstrated ability to implement and enforce

data governance

and

security

practices. Experience in

agile and product-centric environments

. Excellent communication and collaboration skills, with a proactive approach to stakeholder engagement.

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