Azure Cloud Data Delivery Lead/Architect (Azure Databricks) (Remote United States)

$124,350 - $190,000/Yr

Builders FirstSource - Irving, TX

Full-time - Senior

Remote - Irving, TX

5,001-10,000 employees

Wood Product Manufacturing

About the position

The Azure Cloud Data Delivery Lead/Architect at Builders FirstSource is responsible for designing and executing data architecture, data modeling, and data integrations on the Enterprise Data platform. This role focuses on establishing standards for data solutions that support business insights and advanced analytics delivery. The position requires a strategic vision to drive innovation and efficiency in data management solutions, while also providing technical expertise and mentorship to development teams.

Responsibilities

• Leads complex projects from end to end that span multiple teams and set the direction for Data solution architecture.
• Determines the proper technical architecture for proposed Data and liaises with the Enterprise Architecture Board on new initiatives.
• Drives analyses from technical design through completion; guides others in a dev ops structure/environment.
• Responsible for the technical content (architecture and design), integrity, and quality of the solution and accountable for its delivery.
• Designs the architecture and roadmap to support complex data initiatives, applications, security, and integrations.
• Designs and implements scalable and resilient data platforms on cloud infrastructure.
• Designs data models and schemas optimized for performance, scalability, and data governance.
• Establishes and implements data pipelines to ingest and transform data from various sources.
• Manages the standard processes for building data models; ensures data is clean and usable through validation, testing, and troubleshooting.
• Guides the engineering standards for development to store and process high-volume data sets.
• Establishes testing standards and assists with code reviews to optimize scale, velocity, and reliability of deliverables.
• Guides data scientists and analysts to understand their requirements and provides access to curated datasets for analysis and reporting.
• Architects robust and extensible data warehouse systems, preparing data to support key business flows.
• Provides technical guidance and mentorship to development teams on best practices for cloud-native application development.
• Defines standardization and reuse opportunities, abstractions, and patterns across classes and components to streamline design and development of data integration solutions.
• Determines data mapping tools and techniques; reviews and highlights process improvement opportunities.
• Establishes monitoring and alerting solutions to proactively identify and address performance issues and data anomalies.
• Designs and implements data governance policies and procedures to ensure data quality, consistency, and compliance with regulatory requirements.
• Designs, implements, and evolves architectural development processes under the umbrella of Data and Analytics Tower in alignment with Enterprise Architecture.
• Acts as a technical SME working with internal stakeholders, vendors, and external partners providing standards and frameworks.

Requirements

• Bachelor's degree from an accredited college/university.
• 10+ years relevant work experience or an equivalent combination of education and experience.
• Experience with cloud platforms: AWS, Azure, Google Cloud Platform.
• Proficiency in big data technologies: Apache Spark, Hadoop, Kafka.
• Experience with data warehousing technologies: Data Bricks, Snowflake, Amazon Redshift, SAP HANA.
• Knowledge of database technologies: SQL, NoSQL, PostgreSQL.
• Familiarity with DevOps tools: Docker, Kubernetes, Terraform.
• Proficiency in programming languages: Python, Java, Scala, SQL.
• Prior experience with widely used architecture frameworks, preferably TOGAF.
• Experience with analytics platforms like SAP SAC, PowerBI, Tableau.

Nice-to-haves

• Experience with Agile methodologies.
• Familiarity with data governance frameworks.
• Knowledge of machine learning concepts and tools.

Benefits

• Competitive salary with annual bonus eligibility.
• Comprehensive health insurance plans.
• 401(k) retirement savings plan with company matching.
• Paid time off and holidays.
• Professional development opportunities.
• Flexible work environment.