1

Databricks Architect Jobs in Houston, TX (NOW HIRING)

The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform ... Partner with Azure Databricks, Synapse, and Data Lake teams to enable efficient BI consumption of ...

The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform ... Partner with Azure Databricks, Synapse, and Data Lake teams to enable efficient BI consumption of ...

Azure Architect

Houston, TX · On-site

$60.50 - $79/hr

Azure Integration Architect Location: Houston TX - Hybrid Duration: 6-12 months The Architect ... Service Bus, Event Hub, DataBricks, Data Factory, Azure Storage, Key Vault, App Insights, API ...

The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform ... Partner with Azure Databricks, Synapse, and Data Lake teams to enable efficient BI consumption of ...

Azure Systems Architect

Houston, TX · On-site

$231K/yr

Azure Systems Architect Location: Houston TX - Hybrid Duration: 12 months Summary: The Architect ... Service Bus, Event Hub, DataBricks, Data Factory, Azure Storage, Key Vault, App Insights, API ...

Lead data modelling and architecture using tools such as SAP PowerDesigner and WizDesign. * Develop and optimize intelligent, AI‑augmented data pipelines across ADF, ADLS, Databricks, DLT, and ...

EventDriven Architecture * Middleware modernization * SAP Integration * Azure Data Factory * Azure Functions * Databricks * Dataweave * SQL KQL * Production Support and Operational Excellence Skills ...

Showing results 21-40

Databricks Architect information

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the most commonly searched types of Databricks Architect jobs in Houston, TX?

The most popular types of Databricks Architect jobs in Houston, TX are:

What are popular job titles related to Databricks Architect jobs in Houston, TX?

For Databricks Architect jobs in Houston, TX, the most frequently searched job titles are:

What cities near Houston, TX are hiring for Databricks Architect jobs?

Cities near Houston, TX with the most Databricks Architect job openings:

Infographic showing various Databricks Architect job openings in Houston, TX as of August 2026, with employment types broken down into 36% Full Time, and 64% Contract. Highlights an 75% In-person, and 25% Remote job distribution.

Senior Lead Architect: Solution Architecture

J.P. Morgan

Houston, TX • On-site

Full-time

Medical, Retirement

Posted 28 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Are you passionate about shaping the future of technology and driving transformative business impact in financial services? Join JPMorganChase as a Senior Lead Architect and help us deliver innovative, high-quality solutions that leverage advanced AI, machine learning, and data engineering capabilities.

As a Senior Lead Architect at JPMorgan Chase within the Corporate Technology Data Strategy & Architecture organization, you will play a pivotal role in designing and governing enterprise-scale architecture solutions for software applications and platform products You will drive significant business impact by architecting next-generation AI/ML systems, influencing technology direction, and ensuring our solutions meet the highest standards of security, resiliency, and regulatory compliance.

Job responsibilities

  • Represent product families in technical governance bodies, proposing enhancements to architecture governance and AI risk management practices.
  • Provide strategic technical guidance to business stakeholders, engineering teams, contractors, and vendors, fostering a collaborative and innovative environment.
  • Leverage enterprise-authorized AI/ML capabilities - including LLMs, agentic systems, and embedding pipelines - to accelerate architecture analysis, decisioning, and solution delivery, with robust human-in-the-loop validation and sensitive data handling.
  • Guide evaluation and integration of current and emerging technologies, influencing peers and decision-makers to adopt leading-edge AI/ML and cloud-native solutions.
  • Drive architectural decisions impacting product design, application functionality, and technical operations, with a focus on AI-enabled engineering patterns and governance.
  • Develop secure, high-quality production code for data-intensive and AI-driven applications; review and debug code written by others to ensure best practices.
  • Serve as a subject matter expert in data engineering, platform architecture, and AI/ML, actively contributing to the engineering community and advocating firmwide SDLC frameworks.
  • Establish and govern reuse-first, AI-enabled engineering patterns across SDLC/toolchain practices, ensuring traceability, auditability, resiliency, and security controls.
  • Architect and govern agentic AI systems - including multi-agent workflows, tool-use patterns, and human-in-the-loop controls - suitable for regulated financial services environments.
  • Lead AI risk governance design, observability, and ability to explain requirements for production AI systems, shaping enterprise approaches to AI agent orchestration, inter-agent communication, and state management at scale.

Required qualifications, capabilities, and skills

  • Formal training or certification on architecture concepts and 5+ years applied experience in AI/ML, cloud, and data engineering
  • Minimum 12+ years of hands-on experience in system design, application development, testing, and operational stability.
  • Demonstrated expertise in designing and deploying production AI/ML systems, including LLM-based applications, embedding pipelines, vector stores, and agentic architectures with tool use, memory, and multi-step reasoning.
  • Experience evaluating model outputs for safety, accuracy, and latency in regulated environments.
  • Advanced proficiency in programming languages such as Java and Python.
  • Deep knowledge of software architecture, applications, and technical processes within disciplines such as cloud, artificial intelligence, machine learning, and data engineering.
  • Working knowledge of relational and NoSQL databases, data lake architectures, and large-scale data processing technologies (e.g., Spark/PySpark, Databricks, Snowflake).
  • Experience with microservices, API design, Kafka, Redis, Memcached, observability tools (Dynatrace, Splunk, Grafana), and orchestration tools (Airflow, Temporal).
  • Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures, meeting resiliency, security, and auditability requirements.
  • Practical cloud-native experience and ability to tackle complex design and functionality challenges independently.
  • Strong judgment and communication skills to influence technical direction across teams and stakeholders.

Preferred qualifications, capabilities, and skills

  • Experience with modern data technologies such as Databricks or Snowflake.
  • Hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, CrewAI, or equivalent) and model serving infrastructure (Triton, AWS Bedrock, Azure Open AI).
  • Familiarity with AI evaluation and observability - red-teaming, evals frameworks, prompt drift detection, and cost/latency monitoring for LLM workloads.
  • Understanding of agentic design patterns: React, plan-and-execute, reflection loops, and how to constrain agent autonomy in high-stakes financial workflows.
  • Awareness of the AI regulatory landscape in financial services, especially regarding AI use in decision-making.
  • Knowledge of the financial services industry and their IT systems.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.