Remote Data Platform Architect Lead Enterprise Architecture

Talanto; Northern (KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

BV Teck is seeking a Data Platform Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers.

The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• Eight or more years of experience in data engineering, with significant time in architecture roles.
• Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
• Strong understanding of lakehouse architectures, modern table formats, and streaming systems.
• Hands-on experience with Spark, Flink, or Kafka at production scale.
• Strong data modeling expertise across dimensional, normalized, and data-vault patterns.

Responsibilities

• Define and lead the architecture of the enterprise data platform, spanning ingestion, storage, processing, governance and consumption layers.
• Set standards for data modeling and lifecycle management; partner with data engineering, analytics, ML, and business stakeholders.
• Drive the strategic direction of data infrastructure and lead large data platform initiatives across teams.

Skills

Snowflake

Databricks

BigQuery

Redshift

Spark

Flink

Kafka

Data modeling

Governance

Cloud platforms

Education

Bachelor's or Master’s degree in Computer Science / Information Systems

Tools

dbt

LookML

Cube

Job description

BV Teck is seeking a Data Platform Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers.

The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation.