Senior Data Architect

About the role

A premier global enterprise is actively seeking a highly skilled data professional to act as the technical anchor for their platform engineering team. In this role you will design, modernize, and secure a massive analytical estate while bypassing legacy systems to build native cloud solutions. This is a hands-on architectural role where you will partner directly with business leaders and shape the strategic direction of an enterprise-wide integration initiative.

Responsibilities

• Collaborate directly with cross-functional technical teams and corporate business leaders to translate complex requirements into scalable, AI-ready data products.
• Act as a player-coach, actively writing Python and SQL while mentoring internal data engineers and providing strong architectural guidance without direct people management duties.
• Design and deploy configuration-based ingestion frameworks and robust ELT/ETL pipelines across batch and real-time streaming workloads.
• Architect and optimize modern Lakehouse structures ensuring strict adherence to Medallion-style layering standards.
• Drive operational excellence by implementing CI/CD automation, declarative Infrastructure as Code (IaC), and stringent data governance controls.

Qualifications

Must-Haves:

• 10 to 12+ years of overall progressive experience in a data-related technical role.
• At least 5 years of proven experience architecting modern solutions specifically within Microsoft Azure and Microsoft Fabric ecosystems.
• Deep, hands-on expertise building scalable data pipelines using Advanced SQL and Python/PySpark.
• Demonstrated success applying DevOps practices, version control, and Infrastructure as Code.
• Exceptional corporate maturity and communication skills, with the ability to confidently present to and align with executive business leaders.

Nice-to-Haves:

• Prior experience architecting data integrations for major enterprise resource planning (ERP) or CRM system rollouts.
• Hands-on experience implementing enterprise data governance tools.
• Background in the heavy industrial or construction sectors.

Skills

• Kafka, Spark, APIs, AI capabilities
• Azure Data Factory, Azure Synapse Analytics, Azure Event Hubs, Azure Stream Analytics
• Cloud, CI/CD, analytics capabilities
• Data architectures, data platforms, data solutions, enterprise data platforms
• Data governance, data quality frameworks, lineage tracking, metadata, data cataloging
• Data ingestion, data integration, ELT/ETL pipelines, data delivery
• Data modeling, dimensional modeling, semantic layers, reference architectures
• Data security, access control, encryption, disaster recovery
• DevOps practices, Infrastructure as Code, version control, automation
• Python, PySpark, Advanced SQL, KQL
• Streaming data, IoT, MQTT
• Data validation, data quality, data contracts
• Databases, file systems, indexing, semi-structured data
• Warehouse, Lakehouse, Medallion architecture
• Dynamics 365 Finance, Dynamics 365, Customer Engagement
• Scalability, resilience, reliability, operational efficiency, cost efficiency
• Solution designs, architecture, strategic resource

Pay

$165,000 - 180,000 per year

Schedule

9am to 5pm

Benefits

• Comprehensive medical, dental, and vision coverage
• AD&D and life insurance offerings
• Short-term disability
• 401K plan

Location: Severn, Maryland
Job type: Permanent
Education: Bachelors