Architect, Enterprise Data Delivery

Position Overview

We are seeking a versatile Solution Architect to lead the design and implementation of enterprise-scale data solutions spanning Data Engineering, Data Quality, and Solution Architecture. This role will be responsible for delivering robust, scalable, and secure data solutions that meet business objectives and align with enterprise architecture principles. The Solution Architect will work closely with the Lead Architect, platform teams, and business stakeholders to build integrated solutions across the data lifecycle.

Essential Duties & Responsibilities

Architecture & Solution Design:•Design end-to-end data solutions for ingestion, transformation, storage, and delivery across cloud and on-prem environments.•Architect solutions using modern data platforms such as Databricks, Delta Lake, and Prophecy.•Define scalable patterns for data pipelines, APIs, and data access.•Ensure solution designs meet enterprise standards for security, compliance, and scalability.Data Quality & Governance:•Integrate data quality frameworks and governance practices into solution architectures.•Implement automated data validation and monitoring using tools like SODA Cloud.•Establish metadata management, cataloging, and data lineage practices using platforms like Atlan.Platform & Release Engineering:•Design and oversee CI/CD pipelines and automated deployment frameworks.•Collaborate with DevOps and platform teams to streamline release processes and ensure stability.•Drive operational excellence through monitoring, observability, and automated recovery processes.Collaboration & Leadership:•Work closely with data engineers, data stewards, analysts, and application teams to align technical solutions with business needs.•Partner with the Enterprise Architect and fellow Solution Architects to maintain architectural consistency across platforms.•Mentor junior engineers and promote best practices in data engineering and governance.

Experience, Skills & Knowledge

Education & Experience:•Bachelor’s degree in computer science, Data Engineering, or related field.•10+ years of experience in data engineering, architecture, or governance roles, with at least 2+ years as a solution architect.Technical Expertise:•Proficiency in Spark, SQL, Python, and/or Scala.•Strong experience with Databricks, Delta Lake, and data orchestration frameworks.•Hands-on expertise with data quality tools (SODA Cloud) and metadata/catalog platforms (Atlan).•Familiarity with CI/CD tools and cloud platforms (AWS, Azure, GCP).Preferred:•Certifications in cloud platforms or data architecture.•Experience in agile environments and DevOps practices.•Knowledge of data privacy and compliance frameworks (GDPR, CCPA).Soft Skills:•Strong problem-solving and analytical skills.•Excellent communication and stakeholder engagement abilities.•Ability to work independently and collaboratively in a fast-paced environment.