Global IT Data Engineer Senior Manager – Data Warehouse Platforms

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

Be part of a Data Platform Engineering team that is building a unified data platform architecture to unlock the company’s internal Data and AI needs as Senior Manager – Data Warehouse Platforms (Data Platforms Engineer) you will be an integral Individual contributor of an Agile platform team responsible for designing, delivering and running the enterprise data platforms (Snowflake & Google BigQuery) and the supporting ingestion, transformation, orchestration and governance stack. You will partner with Product Owners, Enterprise & Solution Architects, Infrastructure, Security, Analytics and Engineering teams to ensure the platform is secure, cost-efficient, highly available and governed. You have managed SaaS Enterprise Platforms and are adept at configuring access, identity and authentication methods.

You can support implementation of ingestion tooling (Fivetran, AWS Glue, custom connectors), the transformation layer (dbt), orchestration (Airflow), data-quality / catalog / lineage (Informatica IDMC / Catalog / DQ), and data observability (Monte Carlo). Day-to-day, you will own release automation, CI / CD, runbooks, RBAC and masking, SSO / Okta integration, secrets management, FinOps practices, performance tuning, optimization and incident response. You will also manage vendor relationships (Fivetran, Informatica, Monte Carlo etc.) to explore latest developments and contribute to roadmap discussions. Increasing platform maturity and reliability gets you excited and you can lead discussions and mentor engineers to adopt similar best practices

You are a fair hand at developing & supporting custom applications (Streamlit, Django / Python). You use AI to improve your own work and love building and supporting AI solutions to help your customers.

What You'll Bring

• 8+ years in platform engineering / data platform roles, with 3+ years in a senior / lead (Manager / Senior Manager) capacity.
• Hands-on delivery of enterprise-scale data platforms (Snowflake and / or Google BigQuery) supporting analytics / ML at multi-TB scale.
• Proven expertise with ingestion and integration tools : Fivetran, AWS Glue or equivalent, and experience building secure custom connectors.
• Deep practical experience in dbt (models, testing, CI / CD), Airflow (DAG design, scheduling, SLAs) and SQL / Python development.
• Operational experience with Informatica IDMC / Catalog / Data Quality (or equivalent) for metadata, lineage and enterprise data quality.
• Experience deploying / operating data observability tooling (e.g., Monte Carlo ) and implementing runbook-driven incident management.
• Strong cloud & infra skills : Terraform , IAM, networking, logging / monitoring and FinOps for data workloads.
• Demonstrated capability in security & governance : RBAC, masking / tokenization, SSO (Okta), secrets management and audit logging.
• Track record of platform ownership : performance tuning, capacity planning, upgrades / migrations and vendor management.
• Excellent stakeholder management and communication skills; experience translating business needs into platform KPIs.
• Bachelor’s degree in computer science, Engineering or related field (master’s preferred). Relevant certifications (SnowPro, GCP Data Engineer, AWS Professional) are a plus.
• Comfortable mentoring engineers, leading cross-functional teams and driving platform strategy and delivery.

Who You'll Work With

As part of the Data Platform Engineering Portfolio, you’ll join a team that values curiosity, ownership and pragmatic engineering — there’s no single mould here.

You’ll partner closely with Product Owners, Enterprise & Solution Architects, Security, Analytics and IT to deliver platform outcomes at scale. You will work day-to-day with the cross-functional Product Engineering team and the Chapter Lead to shape platform strategy, mentor engineers and drive delivery. Our stakeholders are global, highly analytical and decision-focused, giving you exposure to complex business problems and the chance to influence how data is used across the firm.

Additional info

YOU’RE GOOD AT

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

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