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Lead Data Architect Jobs (NOW HIRING)

Seven Seven Software

Sr Lead Data Architect

Plano, TX · On-site

$64.25 - $86.25/hr

As a Senior Lead Data Architect at JPMorgan Chase within the Software Defined Networking team, your primary role will be to spearhead the architecture and design of Data and Meta-data frameworks for ...

ClifyX

Lead Data Architect (Google spanner)

San Jose, CA · On-site

ClifyX is a company seeking a Lead Data Architect specializing in Google Spanner. The role involves owning the target-state data architecture, ensuring functional correctness and performance for over ...

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How much do lead data architect jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for lead data architect in the United States is $70.08, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $78.61 per hour, depending on experience, location, and employer.

How much money do data architects make?

Data architects typically earn a median annual salary between $100,000 and $150,000, depending on experience, location, and industry. Senior roles with advanced skills in cloud platforms and data modeling can exceed $160,000 annually.

How does a Lead Data Architect typically collaborate with other IT and business teams during large-scale data projects?

A Lead Data Architect works closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to ensure that data solutions align with organizational goals. They often facilitate discussions to translate business requirements into technical specifications and establish data governance standards. Regular collaboration is essential for designing scalable data architectures, troubleshooting integration challenges, and ensuring data security. This role also involves mentoring junior team members and coordinating with project managers to deliver projects on time.

What are the key skills and qualifications needed to thrive as a Lead Data Architect, and why are they important?

To thrive as a Lead Data Architect, you need deep expertise in data modeling, database design, and data governance, typically supported by a degree in computer science or a related field. Mastery of tools like SQL, NoSQL databases, ETL platforms, and cloud data services (e.g., AWS, Azure, GCP), along with certifications such as CDMP or AWS Certified Data Analytics, is highly valued. Strong leadership, communication, and problem-solving abilities help you guide teams and collaborate with stakeholders effectively. These competencies ensure robust, scalable data architectures that support organizational goals and reliable decision-making.

What does a Lead Data Architect do?

A Lead Data Architect is responsible for designing, implementing, and managing an organization’s data architecture. This includes creating data models, defining data flows, and ensuring that data is stored securely and efficiently across systems. They work closely with stakeholders to align data solutions with business goals and oversee the work of other data professionals. Additionally, they ensure data governance and compliance with relevant regulations.

What is the difference between Lead Data Architect vs Data Engineer?

AspectLead Data ArchitectData Engineer
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related field; certifications like AWS Certified Data Analytics or Microsoft Certified: Azure Data EngineerBachelor's in Computer Science, Software Engineering, or related; certifications like Google Cloud Professional Data Engineer or similar
Work EnvironmentDesigns data architecture, oversees data strategy, collaborates with stakeholders, often in leadership rolesBuilds, maintains, and optimizes data pipelines and infrastructure, working closely with data teams
Employer & Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data engineering teams for data processing and pipeline development

The main difference is that a Lead Data Architect focuses on designing and overseeing the overall data architecture and strategy, while a Data Engineer implements and maintains the data pipelines and infrastructure. Both roles require similar credentials but serve different functions within data teams.

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Lead Data Architect jobs near you
Infographic showing various Lead Data Architect job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,772 per year, or $70.1 per hour.

Sr Lead Data Architect

Seven Seven Software

Plano, TX • On-site

$64.25 - $86.25/hr

Full-time

Posted 5 days ago

Job description

Job Description
Do you have deep knowledge in data architecture and design? If yes, then this is the right fit for you!
As a Senior Lead Data Architect at JPMorgan Chase within the Software Defined Networking team, your primary role will be to spearhead the architecture and design of Data and Meta-data frameworks for our strategic cloud native SDN capabilities. Your deep knowledge of data architecture and design, coupled with experience across multiple infrastructure domains, will be crucial in developing the core data elements of the SDN platform and understanding the topological relationship across different infrastructure and application data planes. Your role will be pivotal in developing a data-promoted zero-trust macro and micro-segmentation policy promoted capability, and in creating full stack operational and security signals that correlate inventory metadata and MELT (Metrics, Events, Logs, Traces) data into a cohesive time series insight generating capability. Over time, your work will contribute to feeding this data into AI models to further enhance the insights we can derive from these complex and disparate data sources, thereby meeting our continuously evolving business, regulatory, and security landscape.
Job Responsibilities:
  • Apply deep technical knowledge and problem-solving methodologies to analyze complex data/systems, anticipate issues, and mitigate risks.
  • Work with other Engineering and Platform teams to architect and rapidly iterate on designs, patterns, or changes required to resolve issues and modernize the organization and its technology processes.
  • Lead a team in developing secure, high-quality prototype and production code, and review and debug code written by others.
  • Motivate to solve problems strategically, not deliver short term fixes.
  • Execute work according to compliance standards, risk and security, and business objectives.
  • Advise and mentor engineers and technologists on Data Architecture and Data Science practices, fostering a culture of continuous learning and development.
  • Develop and contribute to a great team culture of diversity, equity, inclusion, and respect.

Required Qualifications, capabilities, and skills :
  • Formal training or certification on Logical data Modelling concepts and 5+ years applied experience.
  • Significant hands-on experience with Logical Data Modelling using MagicDraw, ERwin, PowerDesigner, ERStudio, or similar UML modelling tool
  • Excellent experience of several major technology implementation projects, ideally with a strong data orientation all the way from data sourcing and management to remediation at the end of data lifecycle
  • Highly knowledgeable about relevant Data Management & Governance topics including: Data Glossaries, Taxonomy management, Data Cataloguing, Data Lineage, Data Quality or Automated Data Discovery - demonstrable practical experience in as many as possible.
  • Deep familiarity with various types of relational DBMS (Oracle, MariaDB, SQL Server and etc) and non-relational DBMS( GraphDB, Cassandra , MongoDB , CockroachDB and etc)
  • Excellent command of the SQL and GraphQL language, proficient in Python or Java
  • Ability to create abstraction and generalization of solutions into design patterns. Knowledge of various Data Architecture patterns including ODS, Data Lake, Data Warehousing, OLTP, Data Vault and OLAP
  • Proven track record of partnering with Product Managers and other Architects to translate the vision and requirements into high quality Architecture and work with Engineering teams to refine and actualize the design.
  • 7+ years of hands-on experience in Data Architecture and design
  • Ability to tackle design and functionality problems independently with little to no oversight.
  • Good communication skills to work effectively with technical stakeholders and senior technology leaders.

Preferred Qualifications, capabilities, and skills:
  • TOGAF and/or DAMA certification is desirable
  • Infrastructure/Network domain knowledge and experience with Policy as code frameworks (OPA, Kyverno, etc).
  • Knowledge and Experience of Cloud concepts enabling Modern Software Defined Networks paradigms including VNFs, CNFs, CNIs (Cilium, OVH, Calico, etc), SASE; and Network Security tenants like Micro and Macro Segmentation/Zero Trust, Continuous Validation and enforcement of security Controls, etc. is a huge plus.
  • Experience in working in a rapidly evolving start up style organizations within a large regulated firm is a plus.
  • Drive to continue developing technical and cross-functional knowledge outside of the product.

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