Senior Technical Consultant - Data & Analytics

AHEAD; United States; Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

401(k)

Paid company holidays

Paid time off

Paid parental and caregiver leave

Job summary

A dynamic technology firm is seeking an experienced Senior Data Engineer to manage and optimize Big Data and cloud environments for analytics and data science. In this role, you will design and build robust data pipelines, collaborate with project teams, and communicate effectively with leadership. Ideal candidates will have over 8 years of experience in data architecture, strong Python skills, and proficiency in cloud environments. Competitive benefits including medical and paid leave are offered.

Qualifications

• 8+ years of professional technical experience.
• 4+ years of hands-on Data Architecture and Data Modelling.
• 4+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, and Snowflake.
• 4+ years of programming experience in Python.
• 2+ years of experience in AWS and/or Azure cloud environments.
• Strong client-facing communication and facilitation skills.

Responsibilities

• Design, build, and monitor data processing systems.
• Create automated pipelines for data ingestion and processing.
• Implement applications using tools like Kinesis and Lambda for streaming.
• Support data structures like SQL and NoSQL databases.
• Manage ELT processes for data lakes.
• Develop APIs for data retrieval.
• Collaborate with scrum teams to deliver within sprint timelines.
• Research data questions and engage with business users.

Skills

Python

Cloud

Linux

Windows

NoSQL

Git

ETL/ELT

Spark

Hadoop

Data Warehouse

Data Lake

Snowflake

SQL/RDBMS

OLAP

Data Engineering

Tools

Hadoop

Databricks

Snowflake

Job description

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.

We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.

AHEAD is looking for a Senior Data Engineer to work closely with our dynamic project teams (both on‑site and remotely). This Senior Data Engineer will be responsible for strategic planning and hands‑on engineering of Big Data and cloud environments that support our clients' advanced analytics, data science, and other data platform initiatives. This consultant will design, build, and support modern data environments that reside in the public cloud or multi‑cloud enterprise architectures. They will be expected to be hands‑on technically, but also present to leadership, and lead projects.

The Senior Data Engineer will have responsibility for working on a variety of data projects. This includes orchestrating pipelines using modern Data Engineering tools/architectures as well as design and integration of existing transactional processing systems. As a Senior Data Engineer, you will design and implement data pipelines to enable analytics and machine learning on rich datasets.

Roles and Responsibilities

• Design, build, operationalize, secure, and monitor data processing systems
• Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset
• Implement custom applications using tools such as Kinesis, Lambda and other cloud native tools as required to address streaming use cases
• Engineer and support data structures including but not limited to SQL and NoSQL databases
• Engineer and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop)
• Engineer API's for returning data from these structures to the Enterprise Applications
• Leverage the right tools for the right job to deliver testable, maintainable, and modern data solutions
• Respond to customer/team inquiries and assist in troubleshooting and resolving challenges
• Work with other scrum team members to estimate and deliver work inside of a sprint
• Research data questions, identify root causes, and interact closely with business users and technical resources

Qualifications

• 8+ years of professional technical experience
• 4+ years of hands‑on Data Architecture and Data Modelling.
• 4+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake
• 4+ years of programming languages such as Python
• 2+ years of experience working in cloud environments (AWS and/or Azure)
• Strong client‑facing communication and facilitation skills

Key Skills

• Python, Cloud, Linux, Windows, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Snowflake, SQL/RDBMS, OLAP, Data Engineering

The compensation range indicated in this posting reflects the On‑Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate's relevant experience, qualifications, and geographic location.

Why AHEAD:

Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.

We fuel growth by stacking our office with top‑notch technologies in a multi‑million‑dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.

USA Employment Benefits include:

• Medical, Dental, and Vision Insurance
• 401(k)
• Paid company holidays
• Paid time off
• Paid parental and caregiver leave

Plus more! See benefits https://www.aheadbenefits.com/ for additional details.

Use of AI:

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at [e-mail].

You may opt‑out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt‑out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt‑out.