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Bi Data Architect Jobs (NOW HIRING)

Staffingine LLC

Data Architect

Jersey City, NJ · On-site

$66.50 - $85.50/hr

Build a framework of principles to ensure data integrity across the business including but not limited to ERP CRM BI Data warehouse external interfaces etc * Ensure that the Data Architecture ...

Crane Company

BI Data Engineer

The Woodlands, TX · On-site

The BI Data Engineer is a Business Intelligence focused role that will be an essential part of the ... Architect solutions that support data scientist and business stakeholders * Conduct ETL testing and ...

krg technology inc

Big Data Architect

Fort Worth, TX

$61 - $78.50/hr

... Lead the Architecture, design, development and Implementation of Big Data Applications. 2. ... BI / Data warehousing products Must have 2+ year experience working on Big Data Technologies ...

Verisk

Data Architect

Boston, MA · On-site

$160K - $175K/yr

Define and own data architecture standards , including patterns for data lakes, lakehouse, data ... Familiarity with BI platforms such as Power BI, Tableau, QuickSight, Looker , and semantic modeling ...

advansix

Data Architect

Hopewell, VA · On-site

$118.80K - $178.20K/yr

Define and maintain the target-state architecture for the Unified Data Layer , including landing, curated, and semantic layers, domain boundaries, and consumption patterns for BI, APIs, AI, and ...

Stem Xpert

Data Architect

Detroit, MI

$63 - $81.25/hr

... Data Warehousing/BI and Information Architecture disciplines. Works as a team lead or internal ... Participates in the DW/BI architecture Governance process. Reviews exceptions and makes ...

advansix

Data Architect

Hopewell, VA · On-site

$118.80K - $178.20K/yr

Define and maintain the target-state architecture for the Unified Data Layer , including landing, curated, and semantic layers, domain boundaries, and consumption patterns for BI, APIs, AI, and ...

Resourcesys

Power BI Architect

Morristown, NJ

Assess and troubleshoot existing Power BI architecture, reports, and data models Recommend and implement improvements across performance, scalability, and design Design and build enterprise-level ...

Verisk

Data Architect

Boston, MA · On-site

$69.25 - $89/hr

... for BI and downstream consumers. • Design and optimize data warehouses and analytical query ... data architecture including IAM, encryption (KMS), row/column-level security, PII handling, data ...

Sarian, Inc.

Data Architect

$65.25 - $84/hr

Data Architect Location: Remote - Fulltime Position Must Have Technical/Functional Skills: * Strong ... Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus. * Deep ...

Lorven Technologies

Azure Data Architect

VA · On-site

$64.50 - $83/hr

Define and govern analytics & reporting architecture using Power BI, SSRS, and enterprise data models. * Ensure data security, governance, and PHI compliance across platforms. * Partner with ...

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Bi Data Architect information

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$79.5K

$132.7K

$178.5K

How much do bi data architect jobs pay per year?

As of May 29, 2026, the average yearly pay for bi data architect in the United States is $132,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $146,500.00 per year, depending on experience, location, and employer.

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

To thrive as a BI Data Architect, you need expertise in data modeling, database design, and business intelligence concepts, usually supported by a degree in computer science or a related field. Proficiency with tools like SQL, ETL platforms, data warehousing solutions (e.g., Snowflake, Redshift), and BI software (such as Tableau or Power BI), along with relevant certifications, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with stakeholders and translate business requirements into technical solutions. These competencies are crucial for designing scalable, efficient data architectures that support informed decision-making and organizational goals.

What are some common challenges BI Data Architects face when integrating data from multiple sources?

BI Data Architects often encounter challenges related to data consistency, quality, and compatibility when integrating information from various systems. Different source systems may have unique data formats, structures, and definitions, which require careful mapping and transformation. Ensuring that data remains accurate and up-to-date during extraction, transformation, and loading (ETL) processes is crucial. Additionally, collaborating closely with both business stakeholders and technical teams is essential to align data models with business needs and maintain governance standards.

What is a BI Data Architect?

A BI Data Architect is a professional responsible for designing, building, and maintaining the data infrastructure that supports business intelligence (BI) systems. They create data models, develop data integration processes, and ensure data is organized and accessible for analysis and reporting. Their work helps organizations turn raw data into actionable insights, supporting better decision-making. BI Data Architects collaborate with stakeholders, analysts, and IT teams to align data solutions with business goals.

Are data architects in high demand?

Data architects are in high demand due to the increasing need for organizations to manage large volumes of data and develop scalable data systems. They often require expertise in database design, cloud platforms, and data modeling, making their skills highly sought after across various industries.

How much money do data architects make?

Data architects typically earn a median annual salary of around $100,000 to $150,000, depending on experience, location, and industry. Professionals with advanced skills in data modeling, cloud platforms, and database management may earn higher salaries, especially in competitive markets or with specialized certifications.

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

AspectBi Data ArchitectData Engineer
CredentialsTypically requires a degree in computer science, data management, or related fields; certifications like Microsoft Certified: Data Analyst Associate are common.Similar credentials, often with certifications in cloud platforms (AWS, Azure) and data processing tools.
Work EnvironmentDesigns data architecture for BI solutions, collaborates with data analysts and BI teams.Builds and maintains data pipelines, works closely with data scientists and analysts.
Industry UsageUsed in organizations focusing on business intelligence, reporting, and analytics.Common in companies developing data infrastructure, ETL processes, and data warehousing.

The Bi Data Architect and Data Engineer roles share overlapping skills in data management and architecture. While the Bi Data Architect focuses on designing data systems for BI and analytics, the Data Engineer builds and maintains the data pipelines that support these systems. Both roles are essential in data-driven organizations and often collaborate to ensure efficient data flow and analysis.

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Bi Data Architect jobs near you
Infographic showing various Bi Data Architect job openings in the United States as of May 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 52% Physical, 38% Hybrid, and 10% Remote job distribution, with an average salary of $132,713 per year, or $63.8 per hour.
Data Architect

Data Architect

Staffingine LLC

Jersey City, NJ • On-site

$66.50 - $85.50/hr

Contractor

Posted 9 days ago

Job description

Job Title: Data Architect
Job Location: Jersey City - New Jersey - USA
Job Type: Contract

Job Description:

  • Develop and evolve the enterprise wide data strategy to support delivery of corporate objectives
  • Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise wide data strategy
  • Build a framework of principles to ensure data integrity across the business including but not limited to ERP CRM BI Data warehouse external interfaces etc
  • Ensure that the Data Architecture strategy and roadmap is aligned to the business and technology strategies
  • Apply Best Practices in creating and maintaining Data Data Pipelines Data Lakes Data Sources Databases Artifacts
  • Build and maintain appropriate Enterprise Architecture artefacts including Entity Relationship Models Data dictionary taxonomy to aid data traceability
  • Provide technical oversight to solution delivery in creating business driven solutions adhering to the enterprise architecture and data governance standards
  • Be an advocate of data security principles and ensure appropriate security practices are embedded in any data strategy
  • Be an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standards
  • Develop key performance measures for data integration and quality
  • Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture

SKILLS:


  • Proven experience in architecting and implementing Business Intelligence and Data warehouse platforms Master data Management data integration and OLTP database solutions
  • Possess indepth knowledge of and able to consult on various technologies Strong knowledge of industry best practices around data architecture in both cloud based and on prem solutions
  • Strong analytical and numerical skills are essential enabling easy interpretation and analysis of large volumes of data
  • A comprehensive understanding of the principles of and best practices behind data engineering and the supporting technologies such as RDBMS NoSQL Cache Inmemory stores
  • Experience of architecting data solution across hybrid cloud on premise data platforms
  • A comprehensive understanding of data warehousing and data transformation extract transform and load processes and the supporting technologies such as Amazon Glue EMR Azure Data Factory Data Lake other analytics products
  • Experience implementing data solutions Excellent problem solving and data modelling skills logical physical sematic and integration models including normalization OLAP OLTP principles and entity relationship analysis
  • Experience of mapping key Enterprise data entities to business capabilities and applications
  • A strong knowledge of horizontal data lineage from source to output
  • Excellent communication and presentational skills confident and methodical approach and able to work within a team environment