Managing Consultant - Data and Analytics

Thought Logic is a digital-enabled consultancy that delivers people-centric, transformational solutions for industries of all shapes and sizes. Powered by our smartConsulting solutions and our Challenge the Expected philosophy, we combine extensive domain expertise and experience with a unique client-first approach to offer clients a broad range of capabilities with a truly immersive consulting experience.

What You Need

We are seeking a dynamic and experienced Managing Consultant - Data and Analytics to lead innovative data engineering solutions for our clients while driving quality and scalability. This role will involve hands-on technical work, strategic client collaboration, and team leadership. The ideal candidate will excel at developing robust data solutions, mentoring team members, and serving as a trusted advisor to our clients in their data and analytics journey.

What You Will Do

Data Engineering Leadership

• Design, develop, and maintain scalable data pipelines, ensuring data integrity and efficiency on Azure Data Factory, AWS Glue, or Palantir Foundry.
• Oversee the development of ETL/ELT processes, transforming raw data into usable formats for analysis and reporting using tools like Snowflake or Databricks.
• Implement data integration strategies to combine data from various sources, ensuring accuracy and consistency.
• Develop and optimize data models and databases to support current and future business needs on platforms like AWS Redshift, Azure Synapse Analytics, or Palantir Foundry.
  
  

Analytics and Reporting

• Design and develop reports and dashboards using data visualization tools such as Tableau or Power BI.
• Analyze trends or patterns in complex datasets to provide actionable insights.
• Perform data quality validations to ensure accuracy and alignment with business requirements.
  
  

Client Collaboration and Advisory

• Collaborate with clients to understand their unique data challenges and recommend tailored solutions.
• Serve as a subject matter expert for data integration, modeling, and architecture across the organization.
• Conduct stakeholder interviews, data profiling, and process mapping to identify client needs.
• Provide technical leadership and guidance to clients, ensuring alignment with industry best practices.
  
  

Project Delivery Excellence

• Oversee the delivery of complex data engineering projects, ensuring adherence to timelines, budgets, and quality standards.
• Monitor project progress, proactively addressing risks or issues.
• Coordinate with cross-functional teams to deliver integrated solutions that meet client objectives.
  
  

Team Leadership

• Mentor and coach junior team members, fostering a collaborative and innovative team culture.
• Set clear expectations, provide feedback, and encourage professional growth within the team.
  
  

Qualifications

• Bachelor's or advanced degree in Computer Science, Data Engineering, Information Technology, or a related field.
• 7 years proven experience as a Data Engineer, preferably in a consulting or professional services environment.
• Strong expertise in SQL, Python, and data manipulation tools such as Alteryx or Tableau.
• Proven experience with the entire data integration lifecycle, including ETL development and data modeling.
• Hands-on experience with cloud platforms such as AWS, Azure, or Palantir Foundry.
• Knowledge of APIs and experience in developing or integrating API-driven solutions.
• Proficiency in relational and NoSQL databases.
• Strong problem-solving skills and the ability to work effectively in a collaborative team environment.
• Excellent communication skills to convey technical concepts to non-technical stakeholders
• Willingness to work in a hybrid work environment
  
  

Nice To Have

• Experience with AWS services like Glue, Redshift, EMR, Kinesis, or Azure equivalents, or Palantir Foundry components.
• Familiarity with big data tools such as Apache Airflow, Spark, or Databricks.
• Advanced degree in Computer Science, Data Engineering, or related field.
• Certifications in cloud platforms or data engineering tools.
  
  

Thought Logic is an equal opportunity employer. Thought Logic prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Thought Logic conforms to the spirit as well as to the letter of all applicable laws and regulations.