Enterprise Technology Solution Architect
About The Position
The Enterprise Technology Solution Architect works as a consultant on project delivery engagements, collaborating with clients and teams to design and deliver enterprise-scale data and AI solutions. The role shapes architecture strategies for complex technology programs, aligns solutions with client blueprints and long-term objectives, and translates business challenges into technology solutions with measurable outcomes. It focuses on project delivery and does not carry additional business development or promotion expectations. Employment is tied to the project role, and the position is eligible for a benefits package competitive for project delivery-focused professionals. The architect designs secure, scalable data platforms and AI-driven analytical solutions for financial services organizations; develops technology roadmaps; and architects data pipelines and distributed processing solutions. The role also advises and mentors development teams and governs architecture and engineering practices across transformation programs. The position is part of Deloitte’s AI & Engineering team, which builds, deploys, and operates software, data, AI, network, and hybrid-cloud solutions. The role is available in Dallas, Texas, or Jacksonville, Florida, and requires an average of 10% travel, potentially including overnight travel.
Requirements
- At least 6 years of experience in IT architecture, systems design, or a related technical discipline, including delivery of enterprise-scale data and/or AI solutions in complex environments.
- Experience delivering AI and data architecture solutions within Financial Services.
- Strong proficiency in Python and PySpark, and familiarity with modern data architectures such as Lakehouse, Medallion, Kafka, Flink, Data Mesh, or OLAP/OLTP modeling.
- Hands-on experience designing enterprise Generative AI solutions, including RAG pipelines, LLM integration, prompt engineering, multi-agent workflows, or vector databases such as Pinecone, FAISS, or Azure AI Search.
- Experience with CI/CD, Git, Docker, or Kubernetes.
- Organizational skills to manage multiple workstreams, take ownership of complex challenges, and deliver under tight deadlines.
- Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
- Ability to travel an average of 10%, potentially including overnight travel.
Nice To Haves
- Master’s degree in Computer Science, Data Science, Software Engineering, Mathematics, or a related quantitative discipline, and/or equivalent professional experience delivering enterprise AI and data solutions.
- At least 6 years of experience with distributed data platforms in the Hadoop ecosystem, preferably Cloudera, including HDFS, Hive, Pig, Sqoop, and MongoDB.
- Familiarity with competitor technology products and services and understanding of how architectural specialisms contribute to commercial outcomes and return on investment.
- Hands-on experience designing and deploying solutions on AWS, Azure, or GCP, including cloud-native data services such as Databricks and Snowflake, and applying infrastructure engineering principles alongside software architecture.
- Experience managing and delivering complex, multi-workstream technology programs, including stakeholder management, resource planning, and milestone governance.
- Financial Services experience in Capital Markets, Fraud Detection, Risk Analytics, or Regulatory Reporting.
- Relevant certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, Databricks Certified Associate, or equivalent cloud and data architecture qualifications.
Responsibilities
- Shape enterprise architecture strategies for complex technology programs, aligning solutions with client blueprints and long-term objectives.
- Design secure, scalable data platforms and AI-driven analytical solutions for capital markets and financial services organizations.
- Translate complex business challenges into innovative technology solutions that deliver measurable business outcomes.
- Develop technology roadmaps by evaluating emerging technologies, platforms, infrastructure, and AI capabilities.
- Architect advanced data pipelines and ETL solutions using Python and PySpark across relational, warehouse, and cloud-native environments.
- Design and manage distributed data processing solutions using Hadoop, Cloudera, distributed file systems, and NoSQL databases.
- Apply AI-assisted development tools, CI/CD practices, and container orchestration to improve quality and accelerate delivery.
- Serve as a senior technical advisor, mentor development teams, and govern architecture and engineering best practices across transformation programs.
Benefits
- Competitive benefits package for project delivery-focused professionals.
- May be eligible to participate in a discretionary annual incentive program, subject to the program rules and applicable performance factors.
- Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
