Global IT Data Engineer Expert Director

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation‑inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom‑line impact. To succeed, organizations must blend digital and human capabilities.

Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading‑edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

What You'll Do

As Global IT Data Engineer Expert Director, you will shape and lead the vision for enterprise data architecture, pipelines, and governance while remaining a hands‑on technical contributor. You will ensure high‑quality, trusted data powers analytics, reporting, and emerging GenAI use cases. Your leadership will bridge strategy, execution, and innovation—guiding the team while actively engaging in design and delivery.

WHAT YOU’LL DO

• Architect and build enterprise‑grade data pipelines and models enabling downstream analytics, reporting, and GenAI‑driven insights.

• Actively contribute to the development of scalable data solutions using dbt, Apache Airflow, Five Tran/AWS Glue and Snowflake, optimizing for reliability, observability, and performance.

• Champion data quality by ensuring completeness, accuracy, timeliness, and lineage across ingestion, transformation, and delivery.

• Partner with analytics, AI, and business teams to deliver high‑value data assets that power BI dashboards, predictive models, and generative AI applications.

• Lead cross‑functional collaboration with product owners, architects, and governance teams to define and evolve data standards and architectures.

• Drive experimentation, developing proofs of concept and minimum viable products to evaluate new technologies and patterns.

• Establish and enforce data performance, quality, and security policies aligned with enterprise governance and regulatory frameworks.

• Serve as a player‑coach—mentoring engineers while contributing directly to complex design and code reviews.

• Lead resolution of critical production issues, triaging technical challenges that demand immediate action.

YOU’RE GOOD AT

You bring a rare combination of strategic leadership and deep technical ability. You can design data architectures at scale while still contributing directly to engineering excellence.

• Expert in data modeling, warehousing, and pipeline orchestration, with proven ability to design and implement production‑grade data systems.

• Hands‑on experience developing and optimizing ETL/ELT pipelines with SQL, Python, dbt, Airflow, Five Tran, AWS Glue, and Snowflake.

• Skilled at analyzing and resolving performance bottlenecks in complex data flows, transformations, and reporting layers.

• Deep understanding of data quality frameworks such as SCD, CDC, and DQ or DV, with a focus on automated validation and observability.

• Comfortable working with structured, semi‑structured, and unstructured data for analytics and GenAI consumption.

• Experienced in integrating pipelines with AI, ML, and GenAI workflows, ensuring models are powered by high‑fidelity, explainable data.

• Collaborative and pragmatic—able to dive into the codebase when needed while guiding architectural direction for scalability and reliability.

• Strong advocate for Agile principles, iterative improvement, and an engineering culture rooted in accountability, innovation, and mentorship.

What You'll Bring

• Over ten years of experience in data engineering, architecture, or platform leadership, including at least three years leading technical teams.

• Proven experience as a hands‑on data engineer or architect capable of designing, coding, and reviewing complex data solutions.

• Expertise in modern…