Define and implement enterprise data strategies aligned with client objectives.
Design scalable architectures for cloud and hybrid environments.
Establish governance frameworks and ensure adherence to regulatory standards (GDPR, CCPA).
Maintain data quality, security, and lifecycle management.
Lead advanced analytics initiatives, including AI/ML integration.
Translate complex datasets into actionable insights for business leaders.
Mentor and manage data engineers, analysts, and consultants.
Work closely with cross-functional teams to deliver end-to-end solutions.
Serve as a trusted advisor for data-related decisions.
Present strategies and outcomes to senior stakeholders.

Requirements

Proven hands-on experience delivering end-to-end data and analytics solutions in client-facing environments.
Experience working with at least one major cloud platform: AWS, Azure, or GCP.
Hands-on expertise in Infrastructure as Code (IaC) using Terraform and/or Pulumi.
Expert-level SQL proficiency.
Strong working knowledge of Python and Spark for data processing and analytics.
Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, or BigQuery.
Solid understanding of ETL/ELT design patterns, including data ingestion, transformation, and orchestration.
Experience using modern data engineering tools such as dbt and Airflow.
Experience building dashboards and data visualizations using Power BI or Tableau.
Nice to have: Experience working in multi-cloud environments.
Hands-on experience with data integration tools such as Fivetran or Airbyte.
Exposure to Machine Learning fundamentals.
Experience with Generative AI solutions, including RAG (Retrieval-Augmented Generation).
Hands-on experience with Vector Databases.
Experience using Looker, Sigma, or Streamlit, especially for rapid Proofs of Concept (PoCs).
Prior involvement in R&D initiatives or pre-sales activities, including client demos and technical discovery.

Benefits

Benefits package including comprehensive medical, dental, vision and others
Excellent Company Culture with Individual Development Plans to map out your career growth
Professional Development Training
Opportunity to work in a global environment with diverse teams built with colleagues from around the world
Opportunity to work with technology industry leaders in the financial services environment
Opportunity to work for big name clients in capital markets, banking and other industries

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data strategiescloud architecturedata quality managementAI/ML integrationSQLPythonSparkETL/ELT design patternsdata visualizationMachine Learning

Soft Skills

mentoringcross-functional collaborationcommunicationpresentation skillsclient-facing experienceleadershipadvisory skillsproblem-solvinganalytical thinkingstakeholder engagement