INDUSTRY STATS
According to the U.S. Bureau of Labor Statistics, Data Architect positions are at a 8% growth rate, which is as fast as average. With that said, there are currently 168,000 jobs in the market right now. The total number of jobs is expected to increase by 13,200 to 181,200 in the period of 2020-30.
What’s more, the median annual wage for the Data Architect jobs was $98,860 in May 2020. The lowest 10% earned less than $54,070, and the highest 10% more than $155,660.
Our conclusion? The Data Architect job market is wide open for candidates.
Top Data Architect sections that make the best resume
- Header
- Professional summary
- Experience (with numbers and results)
- Relevant skills
- Education
- Certifications
How to write a Data Architect resume experience section
Data Architect Resume’s Job Experience Checklist:
- Use 4-6 bullet points per job title;
- Don’t go further than a decade behind when describing your job history, unless you’re applying for an executive position;
- Combine job responsibilities as well as achievements with numbers in results when you describe your past work;
- Start each sentence with a power verb and avoid overused buzzwords;
- Use either C-A-R or S-T-A-R methodology, when describing your experience.
The work experience samples below come from real Data Architect resumes that got people hired at top companies. You can use them as an inspiration to build your own resume:
- Involved in creating BI product, helping business teams achieve their productivity and profitability goals through data insights and analytics
- Created complex Reports using Power BI and SSRS and Created Cubes & KPI using SSAS and MDX queries for reporting.
- Create OLAP cubes using SSAS and generate reports using SSRS / Power BI based on user requirement.
- Introduced several reusable generic Talend systems that allowed saves up to 50% on development time.
- Successfully created EDW from base OLTP source systems to deliver BI reporting
- Support near real time data integration between OLAP systems
- Supported multiple BU's for both real-time/historical reporting
- Tools Used: Erwin,Teradata,Sqlserver,Talend,SSIS,visual corn and Tableau.
- Increased quality of data products by 50% with data best practices
- Executed successful integration of data pipelines for Mergers & Acquisitions
- Designed and delivered high performing data solutions with 5X improved performance for consumer product line
- Co-Spearheaded the creation of the bank's Data Warehouse
- Spearheaded the development of the bank's Business Intelligence solutions
- Laid down foundations for company wide structure for business requirements
- Architect, Business Analyst, Data Analyst, DBA, Developer, and Manager
- Departments: IT Project Management Office (PMO), Data Warehouse, Healthcare Quality, and Patient Safety Organization (PSO)
- Providing Data Governance, Analysis, Modeling, Solutions and Analytics
- Technologies: C#, Python, MSSQL 2008 through 2016 SSIS & SSAS, PostgreSQL, Tableau, Amazon Web Services (AWS), EPIC, GE Centricity EMR, Natural Language Processing (NLP), and PowerShell
- In 2017 created and managed data for a Qualified Clinical Data Registry
- Data Modeler Work with key business representatives, data owners, end users.The role involved Analysis of requirement, Designing, Leading and supporting the Build and coordination with testing team, implementation support.
- Created the below key deliverable as a Lead Data Analyst.
- Complex Data mappings
- Data gap analysis
- Data sourcing Strategy
- Batch analysis
- Application design document
- Data Model / Data requirement specification
- Worked on the Asset Liability Management tool (Ambit Focus Management - FIS ) and helped the Business user in UAT. Gained Functional Expertise on asset liability management
- Worked on the Credit risk Engine ( Ambit Capital management - FIS)
- Ensured the CDP had a robust roadmap, data architecture and data dictionary/catalog to support the integrity and scalability of the ecosystem
- Developed the analytical infrastructure for efficient operations and effective decision making, both for experts and non-experts
- Assessed data requirements and presented data architectural recommendations and technical design documentation to meet operational needs for internal and external contacts/suppliers
- Developed processes which were cost effective, with thorough testing regimes and future-proofed for further industry developments
- I designed a new ETL process for 40 billion records a day about web activity for telco law obligation.
- Delivered various high speed reporting platforms for business analysis with cost savings over 30%
- Increased quality of data products by 50% with data best practices
- Delivered high performing data solutions with 10X improved performance for ??? product
- Worked as 2nd MWD Engineer under training in Khalda Pet.
- Developed a 6th App Store ranked health app
- Established ~ 100 FTE mainframe competency
- 15+ Data Scientists from 4 agile autonomous teams got the data which they need to forecast sales and demand.
- Reached 300% increase in time to create and complete an ETL spec
- I designed a new ETL process for 40 billion records a day about web activity for telco law obligation.
- Delivered various high speed reporting platforms for business analysis with cost savings over 30%
- Increased quality of data products by 50% with data best practices
- Delivered high performing data solutions with 10X improved performance for ??? product
- API integration with the Funraisin event registration platform via Matillion ETL and the Data Warehouse - to create automated processes into Raiser's Edge with reconciliation reporting
- Explored and mapped data models across the organisation, allowing me to recommend solutions to improve new and existing systems
- Developed data management, project management and development/testing processes in JIRA to assist with documentation and learnings for future projects
- Ensured the CDP had a robust roadmap, data architecture and data dictionary/catalog to support the integrity and scalability of the ecosystem
- Developed the analytical infrastructure for efficient operations and effective decision making, both for experts and non-experts
- Assessed data requirements and presented data architectural recommendations and technical design documentation to meet operational needs for internal and external contacts/suppliers
- Developed processes which were cost effective, with thorough testing regimes and future-proofed for further industry developments
- Driven requirement gathering workshops with business process owners and converted them into use-case diagrams, sequence diagrams and conceptual data models.
- Design and Built physical data models for the 3 domains of master data implemented as part of the transformation project namely Product, Customer and Finance.
- Defined end-to-end data flows among MDM, CRM(Salesforce), ERP (Oracle NetSuite), Budgeting & Planning (Oracle SPM and SPC) and other applications.
- Defined data governance framework and policies with the business and technical data stewards to effectively leverage data assets.
- Helped the business de-duplicating master data using fuzzy matching algorithms and third-party frameworks in the migration phase.
- Liaison with third-party vendors to understand data feeds to enrichinternal data.
- Worked as the Designer and Developer for the implementation of CMA Open Data requirements for product master data management in Lloyds using IBM MDM Collaboration Server.
- Involved in the requirements gathering phase with business users and BAs for the project which implemented the Product master data on IBM MDM CS.
- Involved in designing and building the various workflow and import and export functionality for the 4 different Product Types which Lloyds sells to its customers.
- Lead a team of developers, providing feedback, clarifying requirements and helping with technical questions.
- Keep the Project Manager and the IT Leads updated on the overall progress of the projects and manage the tasks distributed to the team.
- Keep the code and the features implemented by the other developers in accordance to the requirements.
- Worked as the SME, Designer and Developer for the implementation of master data and reference data management in Lloyds using IBM MDM Collaboration Server.
- Involved in requirements gathering with business users and BAs for more than 10 projects which implemented the master data and reference data on IBM MDM CS.
- Worked closely with client SME in defining the roadmap for the entire MDM implementation.
- Designed and implement various re-usable components and best practices within the data models which have reduced design and build effort.
- I designed and built data model to support Kraft product specifications across 10 European countries.
- My responsibilities mainly included requirement gathering of the various country specific master data and retailer requirements and provide business and technical solution in IBM MDM WPC to implement those requirements.
- Single point of contact for all client queries regarding the GS1 rules and GDS capabilities.
- Architected and helped implement a new Data Platform to satisfy Reporting, Data Science and Analytical products.
- Designed and implemented an organizational effort around Data Debt.
- Created Organization wide Data Standards as part of a broader Data Strategy.
- Lead a team to implement a CDC based solution in place of a custom built polling solution for data updates.
- Up leveled the Data Engineering team on AWS as well as helped spear head the board organization approach on Cloud.
- Re-architected our site wide search approach increasing relevancy by 20% using Elasticsearch stemming.
- Designed and implemented an event driven data lake that consumes from all internal CDC changes -- sanitizing, tagging and placing for consumption back onto an event bus for utilization with ML algorithms.
- Designed the Kubernetes based approach to micro service team database management.
- Created an advanced ABAC micro service built on python, k8s for all Workfront application security needs.
PRO TIP
Check the Data Architect job description for inspiration. Look for similarities between your employer’s values and your experience.
Action Verbs for your Data Architect Resume
Recommended reads:
Data Architect Resume Skills’ Tips & Tricks to Impress Recruiters
Resume Skills Section Checklist:
- Ensure your hard skills section (including technologies) are exactly matching the job description.
- Don’t simply list your soft skills. Apply the “show, don’t tell” principle - let your job achievements speak for themselves.
- Find a way to showcase your skills beyond the skills section.
- Your resume’s skill section is important to ATS systems - so don’t skip it.
Top Skills for your Data Architect resume
- Python
- SQL
- R
- Machine Learning
- Java
- Tableau
- Communication
- Curiosity
- Business mindset
- Adaptability
- Critical and analysitcal thinking
- Problem solving
PRO TIP
When picking skills to feature in your resume, make sure they'll be relevant to the position you’re applying to. The point of listing skills is for you to stand out from the competition. Stay away from repetitive, meaningless skills that everyone uses in their resumes. Or else, they’ll backfire and make you look like an average candidate.
Data Architect Resume Header: Tips, Red Flags, and Best Practices
CHECKLIST For Your Data Architect Resume Header
- Your name and surname in a legible and larger resume font
- The job title you’re applying for or your current job title as a subheading to your name
- Link to your portfolio or online profile, such as LinkedIn
- Address (City and State for the US; just your city for rest of the world)
- Email address
- Headshot (required or welcomed in the EU; not required and sometimes frowned upon in the US)
Stick to popular email providers such as Gmail or Outlook. And use these professional formats to create your username:
- first.last@gmail.com
- last.first@gmail.com
- firstlast@gmail.com
- f.last@gmail.com
- first.l@gmail.com
Recommended reads:
PRO TIP
Include a link to your portfolio in your Data Architect resume header. Most companies will require that you include one in your resume, and even if they don’t, it’s an excellent opportunity to directly show them your proudest projects.
Data Architect Resume Summary Best Practices
Checklist: What to include in your Data Architect resume summary:
- Years of experience;
- Highlight top 3 skills and proficiencies;
- One big professional accomplishment you’re most proud of, that you can tie with the aforementioned skills;
- Use short, direct sentences - but no more than three - to keep the HRs interested.
Resume Summary Formula:
PRO TIP
You’re not going to get hired simply because of a good summary or objective. However, your recruiter can bump you up in front of similarly experienced candidates who didn’t demonstrate such passion and drive.
Recommended reads:
Listing Your Education, Certifications and Courses
Resume Education Section Checklist:
- Ensure your hard skills section (including technologies) are exactly matching the job description.
- Don’t simply list your soft skills. Apply the “show, don’t tell” principle - let your job achievements speak for themselves.
- Find a way to showcase your skills beyond the skills section.
- Your resume’s skill section is important to ATS systems - so don’t skip it.
Top Certifications for your Data Architect resume
Recommended reads:
PRO TIP
There are dozens of certifications that you can claim as a Data Architect. But, some are more effective than others. That’s why you mustn’t include every certificate other applicants might have. Try instead to earn and list a few of the difficult ones.
Data Architect Resume: Additional Writing & Formatting Tips
There are three basic resume formats you can choose from:
- Reverse-chronological resume format;
- Functional resume format;
- Hybrid (or Combination) resume format;
The most optimal format for your particular case will depend on your years of experience, as well as whether you’re switching industries or not.
Reverse chronological resumes are best suited for experienced individuals who are sticking to their industry. The experience section takes a central place, and its bullets contain your responsibilities and achievements, coupled with numbers and results.
Functional resumes are used by less experienced jobseekers or career changers. Note that it’s not a format that recruiters prefer, as most are used to the classic chronological alignment. Instead of a list of job titles, functional resumes focus on your skills, and through what experiences you gained them.
Hybrid resumes are great for both experienced and entry-level candidates, as well as career changers. They combine the best of both worlds - most often in a double column format, where one side of the content is focused on your experience, whereas the other - on your skills, strengths, and proudest moments.
Data Architect Resume Summary best practices
Here are more resume tips regarding your layout and style:
- Clear and legible 12p resume font size;
- Use 10’’ resume margins - that’s default for a great resume design;
- Use a one-page template resume length if you’ve got less than 10 years of experience; otherwise, opt for a two-page resume;
- Save your resume as PDF before sending it to the recruiter.
To take it a step further, check out how your resume can stand out without leaning too much on the creative side.
Recommended reads:
PRO TIP
Test your draft Data Architect resume by sending it out to peers and mentors in your circles. Ask them to review it as if they are hiring you for a project and implement the feedback afterwards.
Other sections to include in your resume
Depending on the type of company (corporation or start-up; innovative or traditional), job seniority level and your location, you may want to include more sections to your Data Architect resume:
Data Architect Resume: How to Make Yours More Creative & Stand Out
When you send your resume to a potential employer, chances are it's the fiftieth one they've seen that day. That's why you need to make your Data Architect resume stand out for the right reasons. That means showing your personality, not just your professional experience. Employers are far more likely to remember a candidate who seems like a genuine person and not a robot. Do this by including your passions (which is also a great place to demonstrate skills on a resume), share your favorite books, or even what your usual day looks like.
What Makes a Great Data Architect Resume: Key Takeaways
- Choose a resume layout that sends the right message across and fits your current career situation;
- Create a resume header that shows your desired job title, and easy to find contact numbers;
- Be specific about your experience, accomplishments and future goals in your summary;
- Feature detailed metrics and specific examples that show the impact you made in your previous roles when describing your experience;
- List soft skills backed by examples;
- Add all of your technical skills and certifications that you have and match the job description;
- Show off a dash of personality in your resume that will demonstrate your culture fit and the right mix of hard and soft skills.
