Data and Analytics Supervisor  
  RSM is seeking a highly skilled and experienced   Data and Analytics Supervisor   to join our India team. The ideal candidate will have a strong background in   data engineering, data modeling, data transformation, storage design, and modern cloud architecture  . This role requires excellent leadership skills along with hands-on technical expertise in   Microsoft Data Platform   and   Snowflake  . 
  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    -  Bachelors 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.