Data Analytics Supervisor

Title: Data Analytics Supervisor
Location: Remote
Length: 12 Months

Seeking a highly skilled and experienced Data and Analytics Supervisor to join our 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/or Snowflake.
The Supervisor will oversee the design, development, and delivery of enterprise data solutions, ensuring efficient use of cloud data services (e.g. Microsoft, 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.
·    Facilitate business requirements sessions and conduct data analysis to accurately identify and specify the data needed to support impactful business objectives.
·    Lead the design and implementation of data engineering solutions using the Microsoft Data Stack (Microsoft Fabric, 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.
·    Lead the design and development of Semantic Models and Reports / Dashboards based on business requirements.
·    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, DBT 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.
·    Expertise in DBT, Spark and BigData technologies.
·    Experience with DevOps, CI/CD pipelines, and infrastructure-as-code tools (e.g., Terraform, ARM templates)
·    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 or Databricks
·    Snowflake certifications such as SnowPro Core or SnowPro Advanced.
·    Experience with streaming and batch data processing frameworks.
·    Proficiency with Power BI, Quick Sight, Tableau or other BI/data visualization tools.
·    Advanced data and cloud certifications are a plus.

Work Environment:

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