Senior Data Specialist

1 Month ago • 8 Years +

Job Summary

Job Description

Brillio is a rapidly growing digital technology service provider, partnering with Fortune 1000 companies for innovative digital adoption. Renowned for its "Brillians" who integrate cutting-edge digital and design thinking with client satisfaction, Brillio is an employer of choice, attracting top talent through its focus on groundbreaking technologies and digital projects. The company consistently earns Great Place to Work® certification by providing an exceptional experience and nurturing employee potential. This Senior Data Specialist role involves leading data platform design, enforcing governance, driving quality, and enabling advanced analytics on Azure.
Must have:
  • Lead platform design and architecture for data management using Databricks on Azure.
  • Develop and enforce data governance standards (definitions, catalogs, metadata, lineage).
  • Coordinate with SMEs to define, validate, and maintain trusted data assets.
  • Drive data quality initiatives with validation, profiling, and cleansing frameworks.
  • Enable advanced analytics use cases (AI/ML, self-healing, digital experience optimization).
  • Work cross-functionally to integrate and aggregate disparate data sources.
  • Identify and resolve data bottlenecks, improve accessibility, and eliminate inefficiencies.
  • Partner with Microsoft on architecture, tools, and roadmap.
  • 8+ years in data management, data engineering, or platform architecture.
  • 3+ years hands-on with Databricks, Spark, and Azure data ecosystem (ADL, Synapse, ADF).
  • Strong background in data quality frameworks, governance, and metadata management.
  • Experience designing enterprise data platforms and leading cross-functional initiatives.
  • Deep understanding of ETL/ELT pipelines, data modeling, and integration strategies.
  • Proven track record working with business SMEs to translate data requirements.
  • Excellent stakeholder communication and strategic partnership management skills.
Good to have:
  • Experience working on AI/ML-enablement or self-healing IT systems
  • Knowledge of IT operations data, telemetry, or digital experience platforms
  • Familiarity with controlled experimentation platforms or A/B testing methodologies
  • Microsoft or Databricks certifications (e.g., DP-203, Databricks Data Engineer)

Job Details

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Primary Skills

  • AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions

Job requirements

  • Location: Remote opportunity

Key Responsibilities:

  • Lead platform design and architecture for the data management system using Databricks on Azure in collaboration with Microsoft engineers and internal stakeholders.
  • Develop and enforce data governance standards, including standardized definitions, data catalogs, metadata, and lineage.
  • Coordinate with Subject Matter Experts (SMEs) to define, validate, and maintain trusted data assets.
  • Drive data quality initiatives by implementing validation, profiling, and cleansing frameworks across data sources.
  • Enable advanced analytics use cases, including:
  • AI/ML model development for proactive issue detection
  • Self-healing mechanisms for IT operations
  • Digital experience optimization via experimentation and telemetry
  • Work cross-functionally with IT, Engineering, and Business teams to integrate and aggregate disparate data sources into a unified model.
  • Identify and resolve data bottlenecks, improve data accessibility, and eliminate inefficiencies in the current ecosystem.
  • Partner with Microsoft to stay aligned on joint architecture, tools, and roadmap.

Required Qualifications:

  • 8+ years of experience in data management, data engineering, or platform architecture
  • 3+ years of hands-on experience with Databricks, Spark, and the Azure data ecosystem (e.g., Azure Data Lake, Synapse, ADF)
  • Strong background in data quality frameworks, data governance, and metadata management
  • Experience in designing enterprise data platforms and leading cross-functional data initiatives
  • Deep understanding of ETL/ELT pipelines, data modeling, and data integration strategies
  • Proven track record in working with business SMEs to translate data requirements into actionable solutions
  • Excellent stakeholder communication and strategic partnership management skills

Preferred Qualifications:

  • Experience working on AI/ML-enablement or self-healing IT systems
  • Knowledge of IT operations data, telemetry, or digital experience platforms
  • Familiarity with controlled experimentation platforms or A/B testing methodologies
  • Microsoft or Databricks certifications (e.g., DP-203, Databricks Data Engineer)

Know more about:

DAI: https://www.brillio.com/services-data-analytics/

Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

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