Senior Databrick Data Engineering Consultant

Job Title: Senior Databricks Data Engineering Consultant

Location: Hybrid – Indianapolis, IN Job Type: Full-Time

SDG Group is a global consulting firm specialized in Data, Analytics & AI. We are committed to unlocking organizations’ potential and hidden value by offering in-depth expertise that empowers our clients’ business models to become successful data-driven enterprises.

Innovation is in our DNA. We constantly evolve our value proposition through cutting-edge laboratories, advanced analytics, and AI technologies — enabling our clients to accelerate their data transformation journeys.

SDG Group operates on a model of Triple Expertise — combining deep industry domain knowledge, technological proficiency, and strategic partnerships with leading software providers such as Snowflake, Matillion, Databricks, and Microsoft.

With proven experience across 700+ clients, we deliver Data & AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools designed to fast-track implementation. We have strong alliances with major AI hyperscalers including Microsoft, Google, and AWS, and are recognized globally as a leader in Data and AI services.

Our AI practice is anchored by Orbitae®, SDG’s agentic AI brand, and INSIGHT GEN®, together with 50+ accelerators and industry agent frameworks that shorten the distance between fragmented enterprise data and deployed, governed AI agents — in the cloud, on-premises, or across hybrid and sovereign environments.

If you’re seeking to join a team fully specialized in Data, Analytics, and AI, we can’t wait to meet you.

As a Senior Databricks Data Engineering Consultant, you will lead the design, development, and delivery of modern data solutions for SDG Group’s clients, serving as a senior technical contributor and trusted partner across complex engagements.

Working as part of a consulting delivery team, you will partner closely with technical and business stakeholders to shape data requirements, guide solution design, and ensure reliable, scalable delivery that supports analytics, reporting, AI, and broader data-driven initiatives.

This opportunity requires deep, hands‑on Databricks experience, with particular emphasis on Databricks SQL and SQL-based data engineering workloads. You will work across complex enterprise data environments, lead technical decisions, optimize transformations and pipelines, validate data, and help establish scalable patterns and best practices for downstream business and analytical use cases.

This role is well suited for an experienced data engineer who enjoys combining hands‑on delivery with technical leadership, client partnership, mentoring, and ownership of complex data engineering work streams.

• Databricks Architecture & Development: Lead the design, build, testing, and maintenance of scalable data solutions within Databricks, with a strong focus on SQL-based transformation and data processing workloads.
• Advanced SQL Development: Design, troubleshoot, and optimize complex SQL queries and transformation logic used for data processing, validation, reconciliation, and analytical workloads.
• Technical Leadership: Own or lead data engineering work streams, guide technical decisions, establish development approaches, and help ensure high-quality delivery across complex client engagements.
• Data Integration: Design and implement integrations across structured and unstructured data sources using modern ETL/ELT methodologies and data integration tools.
• Data Modeling & Warehousing: Design and review scalable data models and warehouse structures that support reporting, analytics, AI, and downstream applications.
• Cloud Data Solutions: Lead or…