Senior Data Engineer at Reply

Philadelphia, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Azure, Microsoft Fabric, Power BI, Databricks, PySpark, Spark SQL, SQL, Python, Delta Lake, Azure Data Factory, Synapse Data Analytics, Unity Catalog, DevOps, Docker, AKS, Consulting

Industry

IT Services and IT Consulting

Description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. In this role, you will combine deep technical expertise with strong consulting skills — engaging directly with clients, understanding business needs, translating requirements into scalable technical solutions, and communicating clearly with both technical and non-technical stakeholders. \n Responsibilities Work directly with clients to understand business goals, data challenges, and technical requirements Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams Contribute to estimation, project planning, and delivery management for client engagements Minimum Requirements Bachelor’s degree in computer science or related field 8 years of experience in data engineering, data platform development, or cloud data solutions 3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.) Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies Preferred Qualifications Azure Database for PostgreSQL Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment. Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps Experience with Delta Lake, Unity Catalog, and Databricks workspace administration or governance. Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft \n About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.

Responsibilities

The Senior Data Engineer will engage directly with clients to understand business needs and translate them into scalable technical solutions, leading the development and optimization of modern data platforms using Azure technologies. Responsibilities include developing batch and streaming data ingestion pipelines, implementing Lakehouse architectures, and engineering solutions using PySpark, Spark SQL, and Delta Lake.