Data Platform Architect at Bright Vision Technologies

Edison, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Aug, 26

Salary

0.0

Posted On

17 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Data Architecture, Snowflake, Databricks, BigQuery, Redshift, Spark, Flink, Kafka, Data Modeling, Lakehouse Architecture, Data Governance, Cloud Platforms, ETL Pipelines, Data Vault, Stakeholder Management, Cost Optimization

Industry

Information Technology & Services

Description

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled Data Platform Architect to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Data Platform Architect Job Title: Data Platform Architect Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 8+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits. Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. Job Summary We are seeking a Data Platform Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity. Key Responsibilities Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers. Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization. Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi. Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads. Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub. Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns. Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs. Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers. Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams. Drive cost optimization and capacity planning across the data platform estate. Design disaster recovery, multi-region, and high-availability strategies for critical data assets. Mentor data engineers and architects on platform standards and emerging best practices. Produce architecture artifacts including context diagrams, decision records, and reference patterns. Stay current with data platform research, vendor offerings, and open-source ecosystem developments. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. Eight or more years of experience in data engineering, with significant time in architecture roles. Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift. Strong understanding of lakehouse architectures, modern table formats, and streaming systems. Hands-on experience with Spark, Flink, or Kafka at production scale. Strong data modeling expertise across dimensional, normalized, and data-vault patterns. Experience implementing governance, lineage, and catalog capabilities. Solid grasp of cloud platforms, networking, identity, and cost optimization. Excellent communication, facilitation, and stakeholder management skills. Track record of leading large data platform initiatives across teams. Preferred Qualifications Experience with data mesh or data product architectures. Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML. Exposure to regulated industries with strict data residency or audit requirements. Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP). Public talks or writing on data architecture. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com. 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. Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans. Position offered by “No Fee Agency.” Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Responsibilities

Define and lead the target-state architecture for the enterprise data platform, covering ingestion, storage, processing, and consumption layers. Establish standards for data modeling and governance while partnering with ML and BI teams to ensure scalable data foundations.