Data Engineering - Consultant

At our core, we help organizations unlock the full value of their data - turning complexity into clarity and strategy into measurable outcomes. As a Consultant - Data Engineering & Analytics - Data Engineering, you will support the delivery of data solutions and contribute to client transformation initiatives.

This role focuses on building on foundational experience at the intersection of data engineering, analytics, and consulting delivery. You will work alongside experienced team members to help design, develop, and implement modern, cloud-based data solutions that enable efficient analytics and data-driven decision-making.

You will support development efforts across platforms such as Snowflake, Databricks, AWS, and Azure, contributing to client data modernization initiatives. You will assist in translating business and technical requirements into well-structured data solutions while developing your technical and consulting skill set.

Success in this role requires strong problem-solving abilities, attention to detail, and a willingness to learn in a fast-paced environment. You will be expected to contribute to team deliverables, continuously build technical expertise, and support high-quality client outcomes.

What You'll Work On

Support client engagements as a contributing project team member

Assist in gathering and understanding business and technical requirements

Translate requirements into technical tasks under guidance from senior team members

Support preparation of presentations, documentation, and deliverables

Develop and support data solutions leveraging:

Snowflake (data warehousing, data storage)

Databricks (data processing, Spark workloads)

AWS ecosystem (S3, Glue, Redshift, Lambda, EMR, IAM)

Microsoft Fabric / Azure (Synapse, ADF)

DataVault Data Automation

Build and maintain data pipelines (primarily batch, with exposure to near real-time)

ETL/ELT development and data integration processes

Contribute to development of data platforms including data lakes and data warehouses

Follow established best practices for coding, testing, and performance optimization

Support senior team members in troubleshooting and resolving data issues

Participate in code reviews, testing, and quality assurance activities

Manage assigned tasks and deliver them within project timelines with minimal oversight

Assist with analytics and reporting by preparing curated datasets

Support advanced analytics initiatives such as machine learning data preparation

Stay current with tools, technologies, and best practices through continuous learning

Support data governance, data quality, and documentation efforts

Follow data security and compliance standards

Contribute to maintaining metadata, lineage, and technical documentation

What You'll Bring

Bachelor’s degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, Economics, or related field

3-5 years of experience in data engineering, analytics, or related technical roles

Foundational experience with:

SQL and basic data modeling concepts

ETL/ELT processes and data integration

Exposure to cloud platforms such as AWS, Azure, or GCP

Familiarity with tools such as Snowflake, Databricks, or similar platforms is a plus

Exposure to programming languages such as Python or Scala is preferred

Basic understanding of modern data architecture concepts (data lakes, warehouses)

Exposure to data visualization tools (e.g., Power BI, Tableau) is a plus

Strong analytical and problem-solving skills

How You Work

Need to be proactive and look for ways to pitch in

Someone who is customer oriented and quality driven

Much be able to handle multiple priorities and have good time management

This is an ever-changing landscape so the ability to be flexible with routines is important

Thinking outside the box to find better ways of working to deliver for clients and internally

Bonus Points If You Have

Datavault Experience - VaultSpeed, DataVault Builder, Wherescape

High attention to detail and commitment to quality

Effective communication and teamwork skills

Ability to learn quickly and adapt in a consulting-driven, fast-paced environment

Demonstrated curiosity and interest in data engineering, analytics, and emerging technologies

What Success Looks Like

Quick to develop strong client relationships

Assist leadership with growing business

Identifying new ways to contribute

Become invaluable to clients

Is a go to person for leadership to develop and deliver

Working in a collaborative environment and supporting those around them

FormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms.

ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

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