Navixus | Tech Mahindra

Data Architect

Posted Yesterday

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Washington, DC, USA

Hybrid

130K-150K Annually

Expert/Leader

Artificial Intelligence • Natural Language Processing • Professional Services • Analytics • Consulting • Conversational AI • Generative AI

Navixus provides strategy, consulting and leading-edge technologies to make the most of every customer touchpoint.

The Role

Design and implement enterprise Databricks Lakehouse solutions, architect batch and real-time Spark pipelines, implement Delta-based Medallion architecture, data governance, Unity Catalog, and AI/BI (Genie, Mosaic AI, Vector Search) solutions. Lead migrations, optimize performance and cost, mentor teams, and deploy cloud-native Azure implementations with CI/CD and automation.

Summary Generated by Built In

Job Summary
Databricks Certified Architect - Responsibilities & Skills

Washington, DC - Onsite
12 YRS Exp

Design and implement enterprise-scale solutions on the Databricks Lakehouse Platform.
Architect end-to-end data pipelines for batch and real-time processing using Apache Spark and PySpark.
Develop scalable data ingestion, transformation, and data quality frameworks.
Design and implement Medallion Architecture (Bronze, Silver, Gold) using Delta Lake.
Build and optimize data warehouses, data marts, and analytical solutions.
Implement data governance, security, lineage, and access controls using Unity Catalog.
Develop and support AI/BI dashboards, semantic models, and self-service analytics solutions.
Configure and optimize Genie Spaces to enable natural language business queries and conversational analytics.
Design and deploy Generative AI and RAG-based solutions using Databricks Mosaic AI and Vector Search.
Collaborate with business users to translate requirements into scalable data and AI solutions.
Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency.
Lead cloud-native implementations across Azure environments.
Define architecture standards, best practices, and reusable design patterns.
Mentor data engineers, analysts, and architects on Databricks technologies and platform adoption.
Lead migration initiatives from legacy data warehouses and analytics platforms to Databricks.
Build and maintain Genie Spaces for business self-service analytics.
Create semantic models, metrics, and trusted data assets for AI-driven reporting.
Develop natural language-to-SQL analytics solutions using Databricks Genie.
Implement RAG solutions using enterprise data and Vector Search.
Optimize AI/BI dashboards and conversational analytics experiences.
Troubleshoot Spark performance, query optimization, and workload management.
Automate data validation, monitoring, and governance controls.
Support AI use cases using Mosaic AI model serving and inference endpoints.

Technical Skills

Databricks Lakehouse Platform
Apache Spark, PySpark, Spark SQL
Python, SQL
Delta Lake, Delta Live Tables, Lakeflow
Unity Catalog
Databricks AI/BI and Genie
Mosaic AI, Vector Search, RAG
Data Modeling (Dimensional & Data Vault)
Structured Streaming
Data Quality and Data Governance
Azure
Terraform, Git, Azure DevOps, Jenkins
REST APIs and Data Integration
Performance Tuning and Cost Optimization

Certification : Architect : Azure Databricks certified Data Eng professional
The pay range for this role is $130k - $150k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.
Thanks & Regards
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected] ."

Skills Required

12 years experience in data architecture or related roles
Azure Databricks Certified Data Engineer / Databricks Certified Architect
Experience with Databricks Lakehouse Platform and Unity Catalog
Expertise in Apache Spark, PySpark, and Spark SQL
Proficient in Python and SQL
Experience with Delta Lake, Delta Live Tables, and Lakeflow
Design and implement Medallion Architecture (Bronze/Silver/Gold)
Experience building Generative AI, RAG, and Vector Search solutions (Mosaic AI)
Experience with Databricks Genie and Genie Spaces (natural language-to-SQL, conversational analytics)
Azure cloud-native implementation experience
Infrastructure and CI/CD tools: Terraform, Git, Azure DevOps, Jenkins
Data modeling experience (Dimensional modeling and Data Vault) and data governance/data quality frameworks
Experience with structured streaming and real-time data pipelines
Experience with REST APIs and data integration patterns

What the Team is Saying

Navixus | Tech Mahindra Compensation & Benefits Highlights

Healthcare Strength — Offerings include medical, dental, vision, mental‑health benefits, FSA, wellness programs, and pet insurance. Corporate materials also describe health and accident insurance and maternity/parental coverage for permanent employees, reinforcing comprehensive protection.
Flexible Benefits — Work models include hybrid/remote options, flexible schedules, and a remote‑work program. A home‑office stipend and related setup support are listed for eligible roles.
Leave & Time Off Breadth — Paid holidays, PTO/sick time, and floating holidays are explicitly included. Parental and family leave, bereavement, and volunteer time are also highlighted in public materials.

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The Company

Englewood, CO

830 Employees

Year Founded: 2009

What We Do

At Navixus, we’re reinventing the customer experience (CX). We help enterprise-level companies solve the most complex CX and contact center problems. We equip our Clients with the strategies, technologies, cross-platform analytics and out of the box, fresh ideas so they can provide their customers with world-class service experiences, and interact across multiple channels.

Why Work With Us

At Navixus you have an opportunity to positively impact the way our clients engage with their customers which in turn improves their customer experience and business outcomes. If you are looking to grow your career, learn more, develop new skills, and work in a highly collaborative environment then you’ve come to the right place.