Overture Partners
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Senior Data Solutions Consultant - Pipeline
2025-05-06
2025-06-17
Employment Type:
Contract
Expertise: Cloud and Automation
Job Number: 24111
Pay Range:
Job Description
Senior Data Solutions Consultant
Key Responsibilities
This role offers an opportunity to lead transformative data initiatives in a dynamic, client-focused environment. You’ll work with cutting-edge cloud and analytics technologies, collaborate with diverse teams, and contribute to a forward-thinking organization dedicated to delivering innovative data solutions and fostering professional growth.
What is a Pipeline Job?
These roles represent future opportunities we've uncovered through our client discussions. We have stripped away the rigid “Must Haves,” “Mandatories,” and “Required” criteria to find the right fit for their needs. By applying for these future roles, we will complete our human-centered process to see if you are a fit while adding your profile to our database to be considered for additional openings. When you apply, rest assured a human will thoroughly review your resume and respond to you personally. We take pride in finding the right match for each job, valuing your unique talents and potential over just what's on your resume.
- Lead data strategy and governance initiatives, assessing data management maturity and addressing gaps in data quality, architecture, analytics, metadata, and master data management.
- Architect and implement data platforms, including data lakes, data stores, ingestion pipelines, transformations, and API services, using cloud-based technologies.
- Drive data modernization efforts, migrating clients from on-premises data platforms to cloud environments like AWS, Azure, or Google Cloud.
- Design and build complex data pipelines for streaming or batch processing, leveraging tools like Snowflake, RedShift, Azure SQL/Synapse, or Databricks.
- Develop advanced analytics and data visualization solutions using tools such as Tableau, Power BI, Qlik, or Spotfire, deploying enterprise-wide reporting systems.
- Apply statistical modeling, machine learning, and AI techniques using tools like Python, R, Alteryx, or RapidMiner to deliver actionable insights.
- Conduct information-gathering sessions, prepare client presentations, and deliver prototypes to address business needs and pain points.
- Collaborate with clients to translate business requirements into technical data solutions, ensuring alignment across multiple business functions and domains.
- Mentor teams on data architecture, engineering, and analytics best practices, fostering adoption of modern data technologies and governance frameworks.
- Contribute to internal initiatives, such as business development, hiring, training, or process improvements, to support organizational growth.
- 8+ years of experience in data architecture, engineering, analytics, or governance, with a proven track record of delivering enterprise-level data solutions.
- Expertise in data management maturity assessments, identifying gaps in data quality, governance, and analytics in complex environments.
- Strong knowledge of cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and modern data technologies (e.g., Snowflake, RedShift, Databricks).
- Experience leading data modernization initiatives, including platform migrations and tool adoption across multiple business domains.
- Ability to deliver client presentations, prototypes, and recommendations based on rigorous problem-solving and data-driven insights.
- Proficiency in programming and scripting languages (e.g., Python, Node.js, SQL) and data integration tools for building robust data pipelines.
- Extensive experience with relational and dimensional database structures, data modeling, and data warehousing principles.
- Knowledge of data visualization tools (e.g., Tableau, Power BI) and best practices for deploying enterprise-wide reporting solutions.
- Experience with statistical modeling, machine learning, or AI tools (e.g., R, Alteryx, RapidMiner) to support advanced analytics.
- Strong written and verbal communication skills to collaborate with technical and business stakeholders across industries.
- Experience with state or government data initiatives, particularly in healthcare or public sector contexts, is highly valued.
- A bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Engineering) is preferred.
- Certifications such as AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer, or similar are a plus.
- Familiarity with Agile methodologies and mentoring teams on data governance or analytics practices is advantageous.
- Candidates must be located within 20 miles of Boston to support occasional onsite collaboration.
This role offers an opportunity to lead transformative data initiatives in a dynamic, client-focused environment. You’ll work with cutting-edge cloud and analytics technologies, collaborate with diverse teams, and contribute to a forward-thinking organization dedicated to delivering innovative data solutions and fostering professional growth.
What is a Pipeline Job?
These roles represent future opportunities we've uncovered through our client discussions. We have stripped away the rigid “Must Haves,” “Mandatories,” and “Required” criteria to find the right fit for their needs. By applying for these future roles, we will complete our human-centered process to see if you are a fit while adding your profile to our database to be considered for additional openings. When you apply, rest assured a human will thoroughly review your resume and respond to you personally. We take pride in finding the right match for each job, valuing your unique talents and potential over just what's on your resume.
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