Senior Data & Analytics Architect | AI-Ready Insights

HCVT

Fort Worth (TX)

Hybrid

USD 120,000 - 180,000

Full time

3 days ago

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Job summary

HCVT in Texas offers hybrid work and a challenging, growth-focused environment. The Senior Data & Analytics Specialist designs and builds enterprise data platforms, applying data engineering, BI, ML, and AI-ready data assets to deliver actionable insights and improved client outcomes.

You will lead data architecture, govern data quality, and collaborate with finance, tax, audit, and advisory teams. Strong SQL/Python skills, ETL/ELT design, and experience with Microsoft Fabric, Azure Data

Qualifications

5+ years of progressive experience in data engineering, data analytics, data science, business intelligence, or related technical disciplines.
Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.
Strong experience designing relational databases, dimensional models, data warehouses, and scalable data pipelines.
Advanced proficiency with SQL and Python, including data transformation, automation, and analytical development.
Experience designing and implementing ETL/ELT processes, data integration solutions, and enterprise data models.
Working knowledge of statistical analysis, predictive modeling, machine learning, and model evaluation techniques.
Knowledge of DevOps, CI/CD, Git, and Infrastructure-as-Code practices for analytics platforms.
Experience with data governance, data quality, metadata management, and enterprise analytics best practices.
Strong analytical thinking, technical problem-solving, and the ability to translate business requirements into scalable data solutions.
Excellent communication skills with the ability to explain complex technical concepts to business stakeholders.

Responsibilities

Enterprise Data Platform & Engineering: Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data lakes, semantic models, and data pipelines. Build scalable ETL/ELT processes that integrate information across Finance, Tax, Audit, Advisory, Operations, and other business systems while ensuring data quality, reliability, governance, and performance.
Data Analytics & Business Intelligence: Develop modern analytics solutions that provide meaningful insights into business performance and operations. Design and deliver executive dashboards, KPIs, operational reporting, and self-service analytics using Power BI and Microsoft Fabric.
Advanced Analytics & Data Science: Apply statistical analysis, predictive modeling, forecasting, and machine learning techniques to solve complex business problems. Build analytical models that improve operational efficiency, identify trends, predict outcomes, and support strategic decision-making.
AI-Ready Data & Intelligent Solutions: Develop governed, high-quality data assets that enable AI applications, intelligent automation, and generative AI solutions. Support modern AI capabilities through semantic models, vector-ready datasets, retrieval pipelines, and data preparation processes that improve the accuracy, reliability, and scalability of AI-enabled business solutions.
Technical Leadership & Data Strategy: Provide technical leadership in enterprise data architecture, analytics technologies, and modern data engineering practices. Evaluate emerging tools and technologies, recommend improvements to the firm's data ecosystem, and contribute to the long-term analytics and AI strategy. Promote engineering best practices, data governance standards, automation, and continuous improvement across the analytics platform.