Senior Data AnalystArchitect
Senior Data AnalystArchitect
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1 Vacancy
Job Description
Job Title: Senior Data Analyst/Architect
Location: Washington DC
Position Type: Contract
Key Responsibilities:
- Data Architecture:
- Design implement and maintain scalable data architectures and pipelines for complex data systems.
- Lead the development and optimization of data models including relational dimensional and NoSQL models.
- Establish data governance policies to ensure data integrity security and quality across the organization.
- Collaborate with IT teams to ensure seamless integration of data systems with business applications.
- Work with cloud platforms (e.g. AWS Azure Google Cloud) and onpremise solutions to optimize data flow and storage.
- Data Analysis:
- Lead efforts in defining key metrics and KPIs to enable business decisionmaking.
- Perform indepth data analysis build predictive models and provide actionable insights using tools like SQL Python R and advanced analytics platforms.
- Develop and maintain custom dashboards reports and visualizations using tools such as Tableau Power BI or Looker.
- Collaborate with business stakeholders to understand data requirements and ensure alignment with business goals.
- Leadership & Collaboration:
- Mentor and guide junior data analysts and architects.
- Lead crossfunctional teams in complex data projects ensuring timely delivery and alignment with business objectives.
- Engage with senior leadership to provide strategic insights recommendations and forecasts.
- Technology Strategy:
- Stay uptodate with emerging data technologies and best practices.
- Evaluate and recommend new tools frameworks and technologies for enhancing data operations.
- Drive the evolution of the companys data strategy ensuring that it supports longterm business goals and growth.
- Project Management:
- Lead and manage multiple data projects ensuring deadlines and quality standards are met.
- Develop project plans resource allocations and risk management strategies.
Requirements:
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Experience:
- 15 years of experience in data analysis data architecture or a related field.
- Proven experience leading complex data architecture projects and initiatives.
- Expertise in building and optimizing ETL pipelines data models and analytics frameworks.
- Experience with big data tools and technologies such as Hadoop Spark or Kafka.
- Indepth experience with data warehousing and cloud data platforms (AWS Azure Google Cloud).
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Technical Skills:
- Strong proficiency in SQL Python and R.
- Handson experience with data visualization tools (Tableau Power BI etc..
- Experience with advanced analytics techniques including machine learning and predictive modeling.
- Familiarity with database management systems (e.g. Oracle SQL Server MySQL MongoDB).
- Experience with data governance frameworks and data security protocols.
-
Soft Skills:
- Strong leadership mentoring and team collaboration skills.
- Excellent communication skills with the ability to present complex technical information to nontechnical stakeholders.
- Strong problemsolving and criticalthinking skills.
-
Education:
- Bachelors degree in Computer Science Engineering Statistics Mathematics or related field (Masters degree preferred).
Preferred Qualifications:
- Certifications in data architecture data analytics or cloud platforms (e.g. AWS Certified Data Analytics Specialty Google Professional Data Engineer).
- Experience working in specific industry e.g. finance healthcare retail.
- Experience with automation frameworks and DevOps practices for data engineering.
Benefits:
- Competitive salary and performancebased bonuses.
- Comprehensive health benefits (medical dental vision).
- 401(k) with company matching.
- Generous PTO and holiday schedule.
- Learning and development opportunities.
Data Architect
Employment Type
Full Time
