Senior Data Architect

Panzer Solutions LLC; Austin (TX); On-site; USD 147,000 - 216,000; Full time

Job summary

Panzer Solutions LLC is seeking a Director of Talent Acquisition specializing in Technical Recruiting to design and maintain enterprise data architectures. The ideal candidate will have over 14 years of experience in data architecture and demonstrate expertise in using tools like Databricks and Snowflake within Azure services. Strong problem-solving and communication skills are essential for collaborating with cross-functional teams to deliver optimal data solutions.

Qualifications

• 14+ years of experience in data architecture or data engineering.
• Expert-level experience with Databricks, Snowflake, and Azure Data Services.
• Strong command of Python and PySpark for ETL processes.

Responsibilities

• Design and maintain enterprise-grade data architecture and pipelines.
• Collaborate with teams to deliver end-to-end data solutions.
• Ensure data quality, governance, and compliance across solutions.

Skills

Data Architecture

Data Engineering

Data Platform Design

Python

PySpark

SQL

Problem Solving

Tools

Databricks

Snowflake

Azure Data Services

Airflow

Terraform

dbt

Power BI

Job description

Direct message the job poster from Panzer Solutions LLC

Director - Talent Acquisition @ Panzer Solutions LLC | Technical Recruiting

Key Responsibilities:

Design, develop, and maintain enterprise-grade data architecture and pipelines.

Architect and optimize data lakehouse solutions using Databricks on Azure.

Implement secure, efficient, and scalable data integration patterns using Snowflake and Azure Data Services (ADF, Data Lake, Synapse, etc.).

Collaborate with cross-functional teams (Data Engineers, Analysts, DevOps, Product Owners) to gather requirements and deliver end-to-end data solutions.

Ensure data quality, governance, and compliance across all solutions.

Develop data models and optimize storage for performance and cost efficiency.

Create automation scripts and frameworks using Python and Spark for data processing.

Conduct performance tuning and troubleshooting of data pipelines and queries.

Evaluate and integrate new tools and technologies to continuously improve the data architecture.

Must-Have Skills:

14+ years of experience in data architecture, data engineering, or data platform design.

Expert-level hands-on experience with Databricks, Snowflake, and Azure Data Services.

Strong command of Python and PySpark for ETL/ELT processes.

Proficient in SQL and performance tuning for complex data sets.

Deep understanding of big data architecture, distributed computing, and data lakehouse patterns.

Experience in building and managing CI/CD pipelines and infrastructure-as-code for data platforms.

Strong problem-solving and communication skills.

Preferred Qualifications:

Experience with tools such as Airflow, Terraform, dbt, or Power BI

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Other

• Industries

  Staffing and Recruiting

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