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Data Analytics Engineer – dbt Snowflake / Data Modeling

Job Description Principal Analytics Engineer Role Overview We are seeking a Principal Analytics Engineer to lead the design, evolution, and scalability of our analytics data platform. This is a senior individual contributor role for someone who has deep hands-on expertise in dbt, SQL, Python, and cloud data warehousing, and who has experience shaping data architecture, modeling standards, and engineering best practices across teams. This role is ideal for someone who does more than build pipelines or reports. We are looking for a leader who can define how data should be modeled, tested, governed, and delivered to support reliable analytics at scale. The right candidate will bring strong technical depth, architectural judgment, and the ability to influence both technical and non-technical stakeholders. What You’ll Do <ul><li>Lead the design and evolution of scalable analytics data architecture across the organization</li><li>Define and implement best practices for analytics engineering, including modeling, testing, documentation, and maintainability</li><li>Build and optimize data models using dbt and modern cloud data warehouse platforms such as Snowflake or Amazon Redshift</li><li>Design scalable data models using approaches such as Dimensional Modeling, Data Vault, or similar frameworks, with clear rationale for when to use each</li><li>Write high-quality, performant SQL and use Python for data pipeline development, tooling, testing, or automation</li><li>Establish standards for project structure, reusability, testing strategy, and long-term maintainability in dbt environments</li><li>Identify and resolve systemic data quality, reliability, and trust issues across datasets and workflows</li><li>Partner with analytics, engineering, product, and business teams to align data architecture with business needs</li><li>Communicate technical decisions, tradeoffs, and architectural direction clearly to a range of stakeholders</li><li>Help drive technical direction across teams and elevate the overall maturity of the data organization </li></ul>What We’re Looking For <ul><li>10+ years of total experience in data-focused roles, with significant depth in Analytics Engineering, Data Engineering, or Data Architecture</li><li>Proven track record of owning and evolving large-scale data architectures, not just contributing within them</li><li>Expert-level proficiency in SQL</li><li>Strong hands-on experience with cloud data warehouse platforms such as Snowflake or Amazon Redshift</li><li>Deep expertise with dbt, including advanced project structure, testing, modular design, and scalable implementation patterns</li><li>Strong experience designing scalable data models using Dimensional Modeling, Data Vault, or similar approaches</li><li>Strong Python skills applied to data engineering, testing, automation, or tooling</li><li>Experience influencing technical direction and working across multiple teams</li><li>Proven ability to identify and solve broad data quality and reliability issues at an organizational level</li><li>Strong communication skills with the ability to explain complex technical concepts clearly </li></ul>What Makes Your Candidacy Stand Out <ul><li>Strong point of view on data modeling philosophy and when to apply different approaches</li><li>Experience building or maturing an analytics engineering practice</li><li>Ability to balance hands-on technical execution with architectural leadership</li><li>Strong track record improving trust, quality, and scalability in analytics data environments</li><li>Experience mentoring teams or setting standards that improve consistency across the organization </li></ul>What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. Pay Transparency Tagline For information on the compensation range and an overview of benefits offered by HTC Global Services, please email compensationrange@htcinc.com. Salary, other compensation, and benefits information shared by HTC are accurate as of the date provided. The disclosed range may vary based on factors such as geographic location, education, relevant experience, certifications, skills, role fit, organizational needs & other factors as applicable. HTC Global Services reserves the right to modify ranges in accordance with governmental, state, and local requirements.

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