Consultant – Data Management | Snowflake

We'll trust you to:

• Lead the design and implementation of Snowflake-based Data Management solutions based on client requirements.
• Translate business and data requirements into data models, technical designs, transformation logic and implementation plans.
• Own technical workstreams end-to-end, from requirements and design through development, testing and deployment.
• Lead delivery across data ingestion, transformation, data warehousing, consumption and reporting.
• Apply strong hands-on knowledge of Snowflake, including Streams, Tasks, Snowpipe, virtual warehouses, clustering, micro-partitioning, Time Travel and data sharing.
• Develop and review complex SQL and Python-based data solutions.
• Make sound technical decisions around performance, scalability, data quality, maintainability and cost.
• Enable and guide L1/L2 team members through clear designs, technical direction, code/design reviews and problem resolution.
• Lead technical discussions with clients and internal stakeholders and clearly communicate recommendations, trade-offs and solution choices.
• Lead troubleshooting of complex data and production issues and drive root-cause resolution.
• Drive appropriate testing, documentation, deployment and operational readiness for solutions.
• Contribute to project planning, estimation, risk management and delivery.
• Develop reusable technical approaches and contribute to Data Management capabilities and best practices across projects.
• Mentor junior team members and contribute to capability development and recruiting.
• Work effectively with US-based clients and global teams.

You'll need to have:

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology or a related field.
5–7 years of experience in data engineering, data warehousing, data management or consulting.
4+ years of strong hands-on Snowflake experience.
Strong SQL and hands-on Python skills.
Strong understanding of data warehouse architecture, dimensional modelling and ETL/ELT.
Proven experience designing, building and optimizing Snowflake solutions at scale.
Strong understanding of query optimization, workload management, clustering and micro-partitioning.
Experience with ETL/ELT tools such as dbt, Informatica, Talend, Matillion or Fivetran.
Experience with orchestration tools such as Airflow, Prefect, Dagster or equivalent.
Familiarity with AWS or Azure
Strong analytical, problem-solving and structured thinking skills.
Excellent communication skills with the ability to work with both technical and business stakeholders.
Ability to independently lead a technical workstream and remain hands-on when required.
Willingness to support US-based clients with US working-hour overlap.
Preferred Qualifications
Life Sciences / Pharmaceutical / Healthcare data experience strongly preferred.
Experience with MDM, Data Quality, Data Governance or reporting/semantic layers.
Experience with commercial data such as customer, product, sales, claims or activity data.
Prior consulting or client-facing experience.
Snowflake certification or equivalent demonstrated expertise.
Exposure to Databricks/PySpark is a plus.