VP, Head of Data Solutions (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Cloud Data Platforms, ETL/ELT Pipelines, Data Governance, Security Frameworks, SQL, Python, PySpark, Scala, Spark Tuning, Agile Methodologies, DevOps Practices, Data Lakes, Data Warehouses, Lakehouses, Stakeholder Management

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a VP, Head of Data Solutions in United States. We are seeking a strategic and experienced leader to drive enterprise data solutions across complex, multi-cloud environments. This role oversees the design, architecture, and implementation of modern data platforms, including data lakes, warehouses, and lakehouses, while ensuring governance, security, and scalability. You will collaborate closely with business stakeholders, pre-sales teams, and engineering groups to translate requirements into high-impact solutions. The position offers significant influence over technical direction, leadership of a data practice, and opportunities to work across diverse industries and cloud technologies. Ideal candidates thrive in a fast-paced, innovative environment and excel in mentoring and shaping high-performing teams. Flexibility and up to 50% travel within the U.S. are expected. Accountabilities Define and maintain enterprise data architecture, including models, integration patterns, and data flows. Design modern cloud and hybrid data platforms (data lakes, warehouses, lakehouses) and oversee implementation. Lead end-to-end solution delivery for ETL/ELT pipelines, APIs, streaming data, and analytics workloads. Ensure data solutions meet security, compliance, scalability, and availability requirements. Guide data governance, quality, lineage, and metadata management practices. Act as a trusted advisor to stakeholders, supporting pre-sales, consulting, and delivery teams. Mentor and develop data engineers, architects, and analysts, fostering best practices across teams. 15+ years of experience in data architecture, engineering, or related roles, including 5+ years as a Solution Architect and 3+ years leading a data practice. Strong expertise with cloud data platforms (Azure Synapse, AWS Redshift, Google BigQuery, Databricks, Snowflake). Hands-on experience implementing 2–3 enterprise data lake projects using leading cloud/data technologies. Proficiency in ETL/ELT pipelines, batch and streaming architectures, SQL, Python, PySpark, Scala, and Spark tuning. Deep knowledge of data governance, security frameworks, IAM, RBAC, encryption, PII handling, and compliance (GDPR, HIPAA). Experience with Microsoft Fabric, Databricks Lakehouse solutions, and hybrid/multi-cloud data environments. Strong leadership, communication, and stakeholder management skills. Experience in Agile methodologies and DevOps practices for data pipelines. Preferred Certifications & Skills: Microsoft Azure Solutions Architect / Data Engineer Associate AWS Solutions Architect – Associate / Big Data Specialty Databricks Certified Data Engineer or Architect Competitive compensation with room for growth based on experience and skills. Fully remote work with flexibility and exposure to cross-industry data initiatives. Opportunities to lead enterprise-scale, multi-cloud projects and shape technical strategy. Professional development and mentorship opportunities within a global data practice. Travel up to 50% within the U.S. for client engagements. Collaborative, inclusive, and innovation-driven work environment. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

The VP, Head of Data Solutions will oversee the design, architecture, and implementation of modern data platforms while ensuring governance, security, and scalability. This role involves collaborating with stakeholders to translate requirements into impactful data solutions.