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HCLTech Linkedin · Posted 10d ago

Senior Power BI Engineer / Analytics Engineer

Hartford County, Connecticut, United States

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Indexed description

Senior Power BI Engineer / Analytics Engineer

📍 Remote (U.S. Only)


Eligibility Requirement (ITAR Compliance)

Due to the nature of work performed and access to export-controlled information and technology subject to the International Traffic in Arms Regulations (ITAR), candidates must qualify as a U.S. Person under ITAR regulations. This position is open only to U.S. Citizens and Green Card holders (Lawful Permanent Residents). Sponsorship is not available for this role.


About the Role

We are seeking a Senior Power BI Engineer / Analytics Engineer with 10+ years of experience delivering enterprise-scale business intelligence, analytics, and reporting solutions. This role combines expertise in Power BI, data modeling, semantic layer design, dashboard development, and Azure data platforms to enable data-driven decision making across the organization.

The ideal candidate will have deep expertise building executive dashboards, enterprise reporting solutions, Power BI semantic models, and scalable analytics platforms while partnering with business stakeholders to transform complex data into actionable insights.

What You'll Do

  • Design, develop, and maintain enterprise-grade Power BI dashboards, scorecards, and executive reporting solutions.
  • Build and optimize Power BI Semantic Models, star schemas, and enterprise data models supporting self-service analytics.
  • Develop advanced DAX calculations, KPIs, measures, and business metrics for reporting and analytics.
  • Create interactive visualizations that drive strategic business decisions across multiple functional areas.
  • Partner with business leaders and stakeholders to gather requirements and translate them into scalable analytics solutions.
  • Design and implement data pipelines using Azure Databricks, Azure Data Factory, PySpark, and SQL to support reporting needs.
  • Develop Lakehouse and data warehouse solutions leveraging Azure Synapse, ADLS Gen2, Delta Lake, and Apache Iceberg.
  • Ensure data quality, governance, lineage, security, and compliance across reporting and analytics environments.
  • Optimize Power BI performance through dataset design, query tuning, aggregations, and incremental refresh strategies.
  • Support enterprise analytics initiatives, executive reporting programs, and KPI standardization efforts.
  • Implement CI/CD and DataOps best practices for Power BI and analytics deployments.
  • Mentor team members and establish reporting, visualization, and analytics best practices.

Required Skills

Power BI & Analytics

  • Power BI
  • DAX
  • Power Query (M)
  • Semantic Models
  • Data Visualization
  • Dashboard Development
  • Executive Reporting
  • KPI Development
  • Row-Level Security (RLS)
  • Report Optimization

Data Engineering

  • Python
  • SQL
  • PySpark
  • ETL/ELT Development
  • Data Modeling
  • Data Warehousing

Azure Data Platform

  • Azure Databricks
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • ADLS Gen2
  • Azure Functions
  • Event Hubs
  • Microsoft Purview

Lakehouse & Modern Data Architecture

  • Apache Iceberg
  • Delta Lake
  • Data Lake Architecture
  • Data Warehousing
  • Enterprise Analytics Platforms

DataOps & Automation

  • Azure DevOps
  • GitHub Actions
  • Terraform
  • Jenkins
  • Airflow
  • dbt

Preferred Qualifications

  • Experience building enterprise reporting platforms serving executive leadership teams.
  • Expertise with advanced Power BI administration and governance.
  • Strong understanding of business metrics, financial reporting, and operational KPIs.
  • Experience working with large-scale cloud data platforms in Azure.
  • Microsoft Power BI Certification and/or Azure Certifications.
  • Experience supporting AI/ML reporting and analytics initiatives.
  • Technical leadership and stakeholder management experience.

Why Join Us?

✅ Fully Remote Opportunity (U.S. Based)

✅ High-Visibility Role Supporting Executive Leadership Reporting

✅ Work with Modern Azure Data & Analytics Technologies

✅ Lead Enterprise Power BI Strategy and Governance

✅ Long-Term Opportunity with Significant Impact



Pay and Benefits

Pay Range Minimum: $ 87,000 per year

Pay Range Maximum: $ 150,000 per year


HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to [email protected] for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You’ll Grow


At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

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