Supervisor, Data

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

**Data and Analytics Supervisor**

The Supervisor will oversee the design, development, and delivery of enterprise data solutions, ensuring efficient use of Microsoft data services and Snowflake for storage, transformation, and analytics.

**Responsibilities**:

- Collaborate with cross-functional teams, including data scientists, analysts, engineers, and business stakeholders, to understand requirements and translate them into scalable technical solutions.
- Lead the design and implementation of data engineering solutions using the **Microsoft Data Stack (Azure Synapse, Azure Data Lake, Data Factory, Databricks, Power BI)** and **Snowflake**.
- Oversee solution delivery engagements, including requirements gathering, design, development, testing, and deployment.
- Architect and develop scalable, efficient data pipelines to ingest, transform, and load data from multiple sources into **data lakes and data warehouses**.
- Implement and enforce **data governance, data security, and compliance best practices** across cloud and hybrid environments.
- Optimize data storage and retrieval performance; monitor health and performance metrics; troubleshoot issues to ensure reliability and scalability.
- Lead and mentor a team of data engineers and analysts, providing technical guidance, coaching, and professional development.
- Stay current on emerging trends, technologies, and best practices in data engineering, cloud computing, and analytics, assessing their potential impact on client solutions.
- Partner with sales and business development teams to identify client needs, prepare solution proposals, and deliver technical presentations or demos.

**Required Qualifications**:

- Bachelor’s degree or higher in Computer Science, Information Technology, Business Administration, Engineering, or related field.
- ** 5-8 years of related experience** in data engineering and data management, with **3+ years in Microsoft Data Stack and/or Snowflake**.
- Strong experience with **Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks**, and **Snowflake**.
- Proficiency in **data modeling** (normalized and denormalized), **ETL/ELT** processes, and designing/implementing enterprise data solutions.
- Expertise in **SQL** and experience with **Python** or other programming languages for data transformation and automation.
- Strong understanding of **data architecture principles, performance tuning, and security best practices**.
- Excellent communication, presentation, and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
- Ability to work effectively with internal and external teams at all organizational levels.
- Strong critical thinking and problem-solving skills.
- Must be a collaborative team player and capable of working independently in a virtual environment.

**Preferred Qualifications**:

- Previous experience in Consulting or managing multiple projects
- Microsoft certifications such as **Azure Data Engineer Associate**, **Azure Solutions Architect**, or **Power BI Data Analyst Associate**.
- Experience with Microsoft Fabric
- Snowflake certifications such as **SnowPro Core** or **SnowPro Advanced**.
- Experience with **streaming and batch data processing frameworks**.
- Proficiency with **Power BI** or other BI/data visualization tools.
- Familiarity with **DevOps, CI/CD pipelines**, and **infrastructure-as-code** tools (e.g., Terraform, ARM templates).
- Advanced data and cloud certifications are a plus.

**Work Environment**:

- Ability to work from our Hyderabad, India office at least twice a week.
- Willingness and ability to travel as needed.