Job Description

Position Summary: Title: Azure Data Architect/Engineer Duration: 12 Months - Long Term Location: Washington, DC 20433 Hybrid Onsite: 4 Days onsite per week from Day1. The intent of this work is to guide the design and development of the data ingestion process into Azure Databricks environment, creating data services for the .Net application for business. Scope Of Work: Client is looking for an Azure Data Architect to perform the following scope of work: Design, develop, and maintain core data architectural constructs with a focus on Azure Data Factory, Azure Data Lake, and Azure Databricks platforms. Skills / Experience / Qualifications Required Bachelor’s or master’s degree in computer science, Computer Engineering, or Information Systems. Minimum 10-15+ years in Data Warehousing, Data Engineering & Analytics Experience. Minimum 8+ years of Cloud data architecture with at least 4+ years on Azure. 5-7 years experience in Data with one large program from end to end. Proven experience as a Data Architect designing and implementing new data solutions in Microsoft Azure platform. A minimum of 5 years of experience designing and developing data solutions in both Azure and Databricks. Hands-on experience in Azure Data Factory, Azure Synapse, Azure Databricks, Azure SQL Database, Azure Functions, and Logic Apps. High proficiency in developing complex ETL Data Pipelines using Databricks with PySpark, managing & maintaining Data Lake & Lakehouse (CDC & SCD). Excellent understanding of data warehousing concepts and technologies (e.g., dimensional modeling, star schema, data vault, medallion architecture, etc.). Experience with designing and developing data solutions using technologies such as Databricks, Snowflake, Dremio, Spark, Hadoop, or Kafka. Strong proficiency in SQL and experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server). Expert knowledge of ETL/ELT tools and frameworks, batch, real-time, and near real-time loads. Expertise in programming languages such as Python and Spark. Familiarity with designing data products for consumption by .Net applications, APIs, or analytical solutions like Power BI. Proven ability to leverage components like Azure Automation, Azure PowerShell Scripting, AZ Copy, Azure DevOps, ARM Templates. Ability to visualize and create high-level models (rigorous information-rich diagrams). Experience in Unity Catalog is preferred. Experience integrating with Power BI and defining the approach for data self-service. Proven experience with Power BI, including Semantic Model development and DAX. “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.” #J-18808-Ljbffr Mindlance

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