Sr. Consultant, Analytics Engineer

IBM

IBM

Data Science

California, USA · Texas City, TX, USA

Posted on Apr 30, 2026
Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk

Your role and responsibilities

We are looking for a Sr. Consultant, Analytics Engineering to join our growing team of experts. This position sits at the intersection of data engineering and analytics, focused on transforming raw, ingested data into trusted, well-modeled, and well-documented assets that power decision-making, BI, and downstream AI/ML use cases.

The Sr. Consultant, Analytics Engineering will own the design and delivery of dimensional and analytical data models, semantic layers, testing and observability frameworks, and CI/CD for analytics workflows. You will partner closely with Data Engineers (who own ingestion and platform), BI Developers, Analysts, and client stakeholders to translate business requirements into durable, reusable, version-controlled data products. You will lead modeling decisions on customer engagements and mentor junior analytics engineers and analysts on dbt, modeling patterns, and analytics best practices.

The right candidate is excited about software engineering rigor applied to analytics: modular SQL, automated testing, peer review, lineage, and treating data models as products with SLAs and consumers.

As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity.

This role can be performed from anywhere in the US.

Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise

• Bachelor's degree in engineering, computer science, analytics, statistics, or equivalent practical experience.

• 5+ years in analytics engineering, data modeling, BI engineering, or closely related roles delivering production analytics on cloud data platforms.

• Expert-level SQL: complex window functions, CTEs, query optimization, and warehouse-specific tuning (Snowflake preferred; Databricks, BigQuery, or Redshift acceptable).

• Production experience building, owning, and operating dbt projects (dbt Core or dbt Cloud), including macros, packages, Jinja templating, incremental models, snapshots, and exposures.

• Strong command of dimensional modeling (Kimball star/snowflake schemas, slowly changing dimensions, conformed dimensions) and pragmatic application of OBT, normalized, and Data Vault patterns where appropriate.

• Demonstrated ability to translate ambiguous business requirements into a layered modeling architecture (staging, intermediate, marts, semantic) with clear ownership, naming conventions, and documentation.

• Experience defining and governing metrics in a semantic layer (dbt Semantic Layer / MetricFlow, LookML, Cube, or equivalent), including metric definitions, dimensional consistency, and downstream BI exposure.

• Hands-on experience implementing data quality and testing frameworks: dbt tests (generic and singular), data contracts, freshness checks, anomaly detection, and lineage-based impact analysis.

• Git-based workflows for analytics: feature branching, pull requests, peer review, and CI/CD pipelines (GitHub Actions, GitLab CI, Azure DevOps, or similar) for dbt projects.

• Working knowledge of orchestration patterns and tools used to schedule transformation workloads (dbt Cloud, Airflow, Dagster, Prefect, or platform-native schedulers).

• Python scripting for analytics tooling, automation, and lightweight transformations where dbt/SQL is not the right fit.

• Cloud experience on AWS (Azure, GCP are nice to have as well).

• Experience integrating modeled data with BI and consumption tools (Tableau, Power BI, Looker, Sigma, Hex, Mode) and partnering with BI developers on semantic alignment.

• Track record of leading modeling decisions on client engagements, including reviewing and approving model designs from other engineers.

• Mentorship of junior analytics engineers and analysts on modeling patterns, dbt best practices, code review standards, and analytics engineering rigor.

• Ability to prepare technical and business-facing artifacts (model design docs, lineage maps, metric catalogs, runbooks) and present to internal and customer stakeholders.

• Track record of sound problem-solving skills and an action-oriented mindset.

• Strong interpersonal skills including assertiveness and ability to build strong client relationships, particularly with analyst and business stakeholders.

• Ability to work in Agile teams.

• Experience hiring, developing, and managing a technical team.

Preferred technical and professional experience

• Snowflake certifications (SnowPro Core, SnowPro Advanced: Data Engineer or Architect) or dbt certifications (dbt Analytics Engineer, dbt Cloud Developer).

• Experience with reverse-ETL tooling (Hightouch, Census) and operational analytics use cases.

• Experience designing and governing a semantic/metrics layer at scale, including metric versioning, deprecation, and stakeholder alignment across multiple consumers.

• Familiarity with data catalog and observability tooling (Atlan, Alation, Collibra, Monte Carlo, Elementary, Soda) and integrating these with dbt projects.

• Experience supporting AI/ML and feature-store use cases with curated, well-tested analytics datasets.

• Familiarity with data contracts, model SLAs, and treating analytics models as versioned, consumer-facing products.

• Industry experience in financial services, healthcare/life sciences, retail/CPG, or public sector.

ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being

- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs

- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law

- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals

- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

We consider qualified applicants with criminal histories, consistent with applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

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