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Big Data Architect

SRI Tech SolutionsMinneapolis, MN🇺🇸United StatesPosted 11 Sept 2026

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

Minneapolis, MN, United States

Posted

Yesterday

SQLScalaShellEncryptionSnowflakeApacheApache SparkAzureDatabricksGitHadoopHiveKafkaPython

Job Description

Big Data Architect

Minneapolis, MN (3 days onsite)

Fulltime Position

Required Technical Skills

Cloud Platform: Strong hands-on architecture experience with Microsoft Azure, including Azure Data Lake Storage, Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Event Hubs, Azure Functions, Azure Monitor, and Azure security services.
Big Data Platforms: Deep expertise in Hadoop ecosystem components such as HDFS, Hive, MapReduce, YARN, Sqoop, Oozie, HBase, and related distributed data processing tools.
Distributed Processing: Expert-level experience in Apache Spark, Spark SQL, Spark Structured Streaming, performance tuning, memory management, job optimization, and cluster sizing.
Programming: Strong development experience in Scala, along with working knowledge of Python, SQL, shell scripting, and data engineering frameworks.
Data Warehousing: Strong Snowflake experience, including warehouse design, schema design, data loading, Snowpipe, performance tuning, clustering, query optimization, cost optimization, and integration with Azure data services.
Streaming Technologies: Experience designing and implementing streaming pipelines using Kafka, Azure Event Hubs, Spark Structured Streaming, and event-driven architectures.
Storage Optimization: Expertise in Parquet, ORC, Delta Lake, partitioning, bucketing, compaction, compression, indexing, archival strategies, and data lifecycle management.
Data Architecture: Experience with data lakes, lakehouse platforms, enterprise data warehouses, data marts, dimensional modeling, metadata management, data lineage, and data governance.
DevOps and Automation: Experience with Git, CI/CD pipelines, infrastructure automation, deployment practices, environment management, monitoring, and production operations.
Security and Governance: Understanding of role-based access control, encryption, data masking, auditing, secrets management, compliance controls, and enterprise data governance standards.

Required Experience:

15+ years of experience in a strong background in data engineering.
8+ years' experience with Hadoop, Scala, Spark
5+ Years on Azure cloud solutions

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